| scholarly article | Q13442814 |
| P356 | DOI | 10.1093/BIOSTATISTICS/KXM045 |
| P932 | PMC publication ID | 3019769 |
| P698 | PubMed publication ID | 18079126 |
| P5875 | ResearchGate publication ID | 5769720 |
| P894 | zbMATH Open document ID | 1143.62076 |
| P50 | author | Robert Tibshirani | Q3938444 |
| Trevor Hastie | Q7839206 | ||
| Jerome H. Friedman | Q15429378 | ||
| P2860 | cites work | Causal protein-signaling networks derived from multiparameter single-cell data | Q29619136 |
| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P6104 | maintained by WikiProject | WikiProject Mathematics | Q8487137 |
| P304 | page(s) | 432-441 | |
| P577 | publication date | 2007-12-12 | |
| P1433 | published in | Biostatistics | Q4915301 |
| P1476 | title | Sparse inverse covariance estimation with the graphical lasso | |
| P478 | volume | 9 |
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| Q39507672 | Identifying highly influential nodes in the complicated grief network |
| Q93089751 | Identifying key targets for interventions to improve psychological wellbeing: replicable results from four UK cohorts |
| Q37095987 | Imaging Imageability: Behavioral Effects and Neural Correlates of Its Interaction with Affect and Context |
| Q37361003 | Immediate and Longitudinal Alterations of Functional Networks after Thalamotomy in Essential Tremor |
| Q97555643 | Improved dynamic connection detection power in estimated dynamic functional connectivity considering multivariate dependencies between brain regions |
| Q35235172 | Improved estimation and interpretation of correlations in neural circuits |
| Q60949845 | Improving Sparsity and Modularity of High-Order Functional Connectivity Networks for MCI and ASD Identification |
| Q50422497 | Improving stability of prediction models based on correlated omics data by using network approaches. |
| Q33497343 | Incorporating existing network information into gene network inference |
| Q36277294 | Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO. |
| Q39654186 | Increased Modularity of Resting State Networks Supports Improved Narrative Production in Aphasia Recovery |
| Q90413453 | Increased lipogenesis and impaired β-oxidation predict type 2 diabetic kidney disease progression in American Indians |
| Q30630970 | Inference of dynamic networks using time-course data |
| Q28542589 | Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization |
| Q35215912 | Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm |
| Q35084529 | Inference of the Xenopus tropicalis embryonic regulatory network and spatial gene expression patterns |
| Q93089768 | Inferring Interaction Networks From Multi-Omics Data |
| Q26801539 | Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models |
| Q51081335 | Inferring cellular regulatory networks with Bayesian model averaging for linear regression (BMALR). |
| Q37579999 | Inferring metabolic networks using the Bayesian adaptive graphical lasso with informative priors |
| Q36355292 | Inferring network structure in non-normal and mixed discrete-continuous genomic data |
| Q35615953 | Inferring slowly-changing dynamic gene-regulatory networks |
| Q31146637 | Inferring species interactions from co-occurrence data with Markov networks |
| Q29227394 | Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health |
| Q59282015 | Information Theoretic Measures to Infer Feedback Dynamics in Coupled Logistic Networks |
| Q42079758 | Integrating Gene Regulatory Networks to identify cancer-specific genes. |
| Q64087016 | Integrating gene regulatory pathways into differential network analysis of gene expression data |
| Q26786552 | Integration of 'omics' data in aging research: from biomarkers to systems biology |
| Q92879319 | Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective |
| Q33565864 | Integrative Analysis of Gene Networks and Their Application to Lung Adenocarcinoma Studies |
| Q56761570 | Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge |
| Q90140127 | Integrative analysis of genetical genomics data incorporating network structures |
| Q92878280 | Inter-relationships among psychopathology, premorbid adjustment, cognition and psychosocial functioning in first-episode psychosis: a network analysis approach |
| Q36447767 | Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach |
| Q33656602 | Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings |
| Q44342902 | Intra- and interregional coregulation of opioid genes: broken symmetry in spinal circuits |
| Q55299799 | Intraindividual Dynamic Network Analysis - Implications for Clinical Assessment. |
| Q51096060 | Intrinsic graph structure estimation using graph Laplacian. |
| Q90454391 | Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial |
| Q34673350 | Iterative reconstruction of high-dimensional Gaussian Graphical Models based on a new method to estimate partial correlations under constraints |
| Q36642833 | Joint Bayesian variable and graph selection for regression models with network-structured predictors |
| Q89497053 | Joint Detection of Associations between DNA Methylation and Gene Expression from Multiple Cancers |
| Q42377359 | Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics |
| Q38632228 | Joint Estimation of Multiple Graphical Models from High Dimensional Time Series |
| Q37701844 | Joint Estimation of Multiple High-dimensional Precision Matrices |
| Q40320755 | Joint Estimation of Multiple Precision Matrices with Common Structures |
| Q38803110 | Joint Estimation of Precision Matrices in Heterogeneous Populations |
| Q30724987 | Joint conditional Gaussian graphical models with multiple sources of genomic data |
| Q30686093 | Joint estimation of causal effects from observational and intervention gene expression data |
| Q36142966 | Joint estimation of multiple graphical models |
| Q30643757 | Joint network and node selection for pathway-based genomic data analysis |
| Q89882423 | K-core robustness in ecological and financial networks |
| Q64928520 | LARGE COVARIANCE ESTIMATION THROUGH ELLIPTICAL FACTOR MODELS. |
| Q51801750 | Large pseudocounts and L2-norm penalties are necessary for the mean-field inference of Ising and Potts models. |
| Q28275692 | Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks |
| Q37671637 | Latent Variable Graphical Model Selection using Harmonic Analysis: Applications to the Human Connectome Project (HCP). |
| Q40219706 | Latent Variable Model for Learning in Pairwise Markov Networks |
| Q41527517 | Learning Graphical Models With Hubs |
| Q93062128 | Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data |
| Q90065032 | Learning a mixture of microbial networks using minorization-maximization |
| Q42706813 | Learning about learning: Mining human brain sub-network biomarkers from fMRI data |
| Q42696657 | Learning causal networks with latent variables from multivariate information in genomic data |
| Q30991501 | Learning directed acyclic graphical structures with genetical genomics data |
| Q35105560 | Learning gene networks under SNP perturbations using eQTL datasets |
| Q36308235 | Learning gene regulatory networks from next generation sequencing data |
| Q36050380 | Learning mixed graphical models with separate sparsity parameters and stability-based model selection |
| Q33550962 | Learning oncogenic pathways from binary genomic instability data. |
| Q92735397 | Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields |
| Q35737954 | Learning the Structure of Mixed Graphical Models |
| Q42009663 | Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs |
| Q42206412 | Likelihood-based selection and sharp parameter estimation |
| Q35770107 | Linear growth faltering in infants is associated with Acidaminococcus sp. and community-level changes in the gut microbiota |
| Q59141153 | Link Prediction via Sparse Gaussian Graphical Model |
| Q47641996 | Longitudinal network structure of depression symptoms and self-efficacy in low-income mothers |
| Q35072631 | Low-rank regularization for learning gene expression programs |
| Q92693687 | MOTA: Multi-omic integrative analysis for biomarker discovery |
| Q36307117 | Machine-learning to characterise neonatal functional connectivity in the preterm brain. |
| Q30990887 | Making Large-Scale Networks from fMRI Data |
| Q42372865 | Making connections: exploring the centrality of posttraumatic stress symptoms and covariates after a terrorist attack |
| Q28553520 | Markov Networks of Collateral Resistance: National Antimicrobial Resistance Monitoring System Surveillance Results from Escherichia coli Isolates, 2004-2012 |
| Q93357933 | Maternal metabolites during pregnancy are associated with newborn outcomes and hyperinsulinaemia across ancestries |
| Q38023403 | Mathematical and statistical modeling in cancer systems biology |
| Q42025636 | Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs |
| Q56752021 | Meal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult population |
| Q41196971 | Mediation by anxiety of the relationship between amygdala activity during emotion processing and poor quality of life in young adults |
| Q49066177 | Metabolic connectivity for differential diagnosis of dementing disorders. |
| Q50540296 | Metabolomic Characterization of Hepatocellular Carcinoma in Patients with Liver Cirrhosis for Biomarker Discovery. |
| Q91989238 | Methodological Advances in the Study of Hidden Variables: A Demonstration on Clinical Alcohol Use Disorder Data |
| Q84763463 | MicroRNA expression profiles associated with pancreatic adenocarcinoma and ampullary adenocarcinoma |
| Q93062859 | Microbial Networks in SPRING - Semi-parametric Rank-Based Correlation and Partial Correlation Estimation for Quantitative Microbiome Data |
| Q57655235 | Minimum Partial Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity in fMRI |
| Q40061143 | Mixed Effects Models for Resampled Network Statistics Improves Statistical Power to Find Differences in Multi-Subject Functional Connectivity. |
| Q39669174 | Mixed scale joint graphical lasso |
| Q41476353 | Model Selection and Estimation in the Matrix Normal Graphical Model |
| Q38634964 | Modeling time-series data from microbial communities |
| Q92134921 | Modelling approaches for studying the microbiome |
| Q38768971 | Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study |
| Q31053791 | Mouse obesity network reconstruction with a variational Bayes algorithm to employ aggressive false positive control |
| Q64983849 | Multi-subject hierarchical inverse covariance modelling improves estimation of functional brain networks. |
| Q31140578 | Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures |
| Q36935055 | Multimodal based classification of schizophrenia patients |
| Q90039809 | Multiple Matrix Gaussian Graphs Estimation |
| Q41859897 | Multiple Response Regression for Gaussian Mixture Models with Known Labels |
| Q36293796 | Multiregional integration in the brain during resting-state fMRI activity |
| Q90290921 | Multitable Methods for Microbiome Data Integration |
| Q47194934 | Multivariate Heteroscedasticity Models for Functional Brain Connectivity |
| Q33807948 | Multivariate analysis of microarray data: differential expression and differential connection |
| Q45265273 | Multivariate gene-set testing based on graphical models |
| Q36243487 | Mutually temporally independent connectivity patterns: a new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on gender |
| Q36123583 | NEAT: an efficient network enrichment analysis test. |
| Q39804773 | NETWORK ASSISTED ANALYSIS TO REVEAL THE GENETIC BASIS OF AUTISM. |
| Q41956523 | NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES. |
| Q30679237 | NP-MuScL: unsupervised global prediction of interaction networks from multiple data sources |
| Q50099223 | NetMiner-an ensemble pipeline for building genome-wide and high-quality gene co-expression network using massive-scale RNA-seq samples. |
| Q64258059 | Network Analysis of the Multidimensional Symptom Experience of Oncology |
| Q41602336 | Network Analysis on Attitudes: A Brief Tutorial |
| Q28282481 | Network Inference and Biological Dynamics |
| Q55029076 | Network Inference via the Time-Varying Graphical Lasso. |
| Q62293427 | Network Models for Cognitive Development and Intelligence. |
| Q52385249 | Network Reconstruction From High-Dimensional Ordinary Differential Equations. |
| Q38755117 | Network Structure of Perinatal Depressive Symptoms in Latinas: Relationship to Stress and Reproductive Biomarkers |
| Q39395483 | Network analysis of depression and anxiety symptom relationships in a psychiatric sample |
| Q34279579 | Network analysis of reverse phase protein expression data: characterizing protein signatures in acute myeloid leukemia cytogenetic categories t(8;21) and inv(16). |
| Q49924442 | Network analysis: An innovative framework for understanding eating disorder psychopathology. |
| Q34729608 | Network clustering: probing biological heterogeneity by sparse graphical models |
| Q35875133 | Network construction and structure detection with metagenomic count data |
| Q38758244 | Network models of DSM-5 posttraumatic stress disorder: Implications for ICD-11. |
| Q60912847 | Network models of driver behavior |
| Q36481643 | Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects |
| Q55260352 | Network-based machine learning and graph theory algorithms for precision oncology. |
| Q39644743 | Network-based pathway enrichment analysis with incomplete network information |
| Q38374003 | Networks of loss: Relationships among symptoms of prolonged grief following spousal and parental loss. |
| Q30436260 | Neural networks of colored sequence synesthesia |
| Q47582382 | Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features |
| Q36661918 | New Method for Joint Network Analysis Reveals Common and Different Coexpression Patterns among Genes and Proteins in Breast Cancer |
| Q67224562 | No evidence for globally coherent warm and cold periods over the preindustrial Common Era |
| Q64072227 | Node centrality measures are a poor substitute for causal inference |
| Q42687804 | Node-Based Learning of Multiple Gaussian Graphical Models. |
| Q33604714 | Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information |
| Q36392240 | Node-based learning of differential networks from multi-platform gene expression data |
| Q38895790 | Non-convex Statistical Optimization for Sparse Tensor Graphical Model |
| Q47100789 | Non-criticality of interaction network over system's crises: A percolation analysis |
| Q91364775 | Obsessive-compulsive symptoms in eating disorders: A network investigation |
| Q43244807 | On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis |
| Q49269520 | On an additive partial correlation operator and nonparametric estimation of graphical models. |
| Q33593699 | On inferring presence of an individual in a mixture: a Bayesian approach |
| Q31155259 | On joint estimation of Gaussian graphical models for spatial and temporal data |
| Q36254923 | On the inconsistency of ℓ 1-penalised sparse precision matrix estimation |
| Q42196366 | Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices |
| Q64108837 | Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia |
| Q38770760 | Parsimonious modeling with information filtering networks |
| Q37405094 | Partial Correlation Estimation by Joint Sparse Regression Models |
| Q41819668 | Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation |
| Q36157187 | Partial covariance based functional connectivity computation using Ledoit-Wolf covariance regularization |
| Q40745361 | Pathway Graphical Lasso |
| Q59069659 | Penalized Maximum Likelihood Method to a Class of Skewness Data Analysis |
| Q47446711 | Penalized estimation of sparse concentration matrices based on prior knowledge with applications to placenta elemental data |
| Q35662120 | Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs |
| Q40471233 | Penalized model-based clustering with unconstrained covariance matrices. |
| Q93332884 | Penalized models for analysis of multiple mediators |
| Q42091942 | Penalized unsupervised learning with outliers |
| Q36238881 | Persistent Homology in Sparse Regression and Its Application to Brain Morphometry. |
| Q88510520 | Phenotypical resistance correlation networks for 10 non-typhoidal Salmonella subpopulations in an active antimicrobial surveillance programme |
| Q91049491 | Post-Selection Inference for ℓ1-Penalized Likelihood Models |
| Q42425984 | Potential unsatisfiability of cyclic constraints on stochastic biological networks biases selection towards hierarchical architectures |
| Q47791475 | Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits. |
| Q35515497 | Predicting growth conditions from internal metabolic fluxes in an in-silico model of E. coli |
| Q38792983 | Predicting microbial interactions through computational approaches |
| Q47322162 | Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression |
| Q37604529 | Prediction model for 30-day hospital readmissions among patients discharged receiving outpatient parenteral antibiotic therapy |
| Q34569622 | Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations. |
| Q36584378 | Prediction of protein domain boundaries from inverse covariances |
| Q36633596 | Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior |
| Q91947146 | Primary fatty amides in plasma associated with brain amyloid burden, hippocampal volume, and memory in the European Medical Information Framework for Alzheimer's Disease biomarker discovery cohort |
| Q35884532 | Protein topology from predicted residue contacts |
| Q38760614 | Proteomic Screening and Lasso Regression Reveal Differential Signaling in Insulin and Insulin-like Growth Factor I (IGF1) Pathways. |
| Q90040974 | Psychometric Network Analysis of the Hungarian WAIS |
| Q57455075 | Psychotic Experiences and Related Distress: A Cross-national Comparison and Network Analysis Based on 7141 Participants From 13 Countries |
| Q64090222 | Rarity of microbial species: In search of reliable associations |
| Q62706323 | Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia |
| Q31003486 | Reconstruction of composite regulator-target splicing networks from high-throughput transcriptome data |
| Q47565861 | Reconstruction of molecular network evolution from cross-sectional omics data |
| Q37248135 | Recovering time-varying networks of dependencies in social and biological studies |
| Q29614491 | Regularization Paths for Generalized Linear Models via Coordinate Descent |
| Q42259410 | Regularized parameter estimation in high-dimensional gaussian mixture models |
| Q38848928 | Relating functional connectivity in V1 neural circuits and 3D natural scenes using Boltzmann machines. |
| Q41854236 | Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands |
| Q55341006 | Replicability and Generalizability of Posttraumatic Stress Disorder (PTSD) Networks: A Cross-Cultural Multisite Study of PTSD Symptoms in Four Trauma Patient Samples. |
| Q38665649 | Replicates in high dimensions, with applications to latent variable graphical models |
| Q64116938 | Resting state connectivity differences in eyes open versus eyes closed conditions |
| Q36202733 | Resting state functional MRI reveals abnormal network connectivity in neurofibromatosis 1. |
| Q37260090 | Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism |
| Q93037753 | Resting-state fMRI dynamic functional network connectivity and associations with psychopathy traits |
| Q40505703 | Resting-state subcortical functional connectivity in HIV-infected patients on long-term cART. |
| Q38721721 | Revealing protein networks and gene-drug connectivity in cancer from direct information. |
| Q35086178 | Review of biological network data and its applications |
| Q31146147 | Ridge estimation of the VAR(1) model and its time series chain graph from multivariate time-course omics data. |
| Q37625470 | Risperidone Effects on Brain Dynamic Connectivity-A Prospective Resting-State fMRI Study in Schizophrenia |
| Q64119840 | Robust Covariance Estimation for Approximate Factor Models |
| Q42522635 | Robust Gaussian graphical modeling via l1 penalization |
| Q42695980 | Robust and sparse correlation matrix estimation for the analysis of high-dimensional genomics data |
| Q41988766 | Robust reverse engineering of dynamic gene networks under sample size heterogeneity |
| Q58785268 | SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks |
| Q51860366 | SIMoNe: Statistical Inference for MOdular NEtworks. |
| Q43107615 | STRONG ORACLE OPTIMALITY OF FOLDED CONCAVE PENALIZED ESTIMATION. |
| Q47144182 | Salience network dynamics underlying successful resistance of temptation |
| Q47108562 | Schizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional Connectivity |
| Q33523172 | Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests |
| Q37246703 | Selection and estimation for mixed graphical models |
| Q90284285 | Self-organization and symmetry breaking in intestinal organoid development |
| Q38725066 | Semiparametric Bayes conditional graphical models for imaging genetics applications. |
| Q37533035 | Sevoflurane Alters Spatiotemporal Functional Connectivity Motifs That Link Resting-State Networks during Wakefulness |
| Q28647521 | Sharing and Specificity of Co-expression Networks across 35 Human Tissues |
| Q48205254 | Silence on the relevant literature and errors in implementation |
| Q64958845 | Simultaneous Clustering and Estimation of Heterogeneous Graphical Models. |
| Q38640763 | Simultaneous Estimation of Nongaussian Components and Their Correlation Structure |
| Q42229538 | Simultaneous Multiple Response Regression and Inverse Covariance Matrix Estimation via Penalized Gaussian Maximum Likelihood |
| Q92085505 | Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI |
| Q35828062 | So Many Variables: Joint Modeling in Community Ecology. |
| Q57169670 | Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity |
| Q30866800 | Sparse Biclustering of Transposable Data |
| Q47668780 | Sparse Covariance Matrix Estimation by DCA-Based Algorithms |
| Q37599152 | Sparse Estimation of Conditional Graphical Models With Application to Gene Networks |
| Q82167991 | Sparse High Dimensional Models in Economics |
| Q30670592 | Sparse Methods for Biomedical Data |
| Q33787502 | Sparse Multivariate Regression With Covariance Estimation |
| Q50356954 | Sparse Regression Incorporating Graphical Structure among Predictors. |
| Q35581990 | Sparse and compositionally robust inference of microbial ecological networks |
| Q55499129 | Sparse and low-rank matrix regularization for learning time-varying Markov networks |
| Q36145008 | Sparse estimation of a covariance matrix |
| Q34767051 | Sparse network-based models for patient classification using fMRI. |
| Q41644075 | Sparse networks of directly coupled, polymorphic, and functional side chains in allosteric proteins |
| Q36408347 | Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification |
| Q41322631 | Sparsistency and Rates of Convergence in Large Covariance Matrix Estimation |
| Q34794091 | Spatial vs. Temporal Features in ICA of Resting-State fMRI - A Quantitative and Qualitative Investigation in the Context of Response Inhibition |
| Q37213865 | Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states. |
| Q38693601 | Sports genetics moving forward: lessons learned from medical research |
| Q41349267 | Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies |
| Q42819526 | Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models |
| Q92978105 | Stabilized Reconstruction of Signaling Networks from Single-Cell Cue-Response Data |
| Q42544533 | Stable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties |
| Q47110630 | Statistical Contributions to Bioinformatics: Design, Modeling, Structure Learning, and Integration |
| Q40118905 | Statistical Significance of Clustering using Soft Thresholding. |
| Q30619237 | Statistical analysis of big data on pharmacogenomics |
| Q36061682 | Statistical completion of a partially identified graph with applications for the estimation of gene regulatory networks |
| Q33493403 | Statistical estimation of correlated genome associations to a quantitative trait network |
| Q58351932 | Strain-level diversity drives alternative community types in millimetre-scale granular biofilms |
| Q38604932 | Structural Brain Connectivity Constrains within-a-Day Variability of Direct Functional Connectivity |
| Q42069228 | Structural Learning of Chain Graphs via Decomposition. |
| Q58573223 | Structural and Functional Brain Connectivity Changes Between People With Abdominal and Non-abdominal Obesity and Their Association With Behaviors of Eating Disorders |
| Q34109989 | Structural constraints on the covariance matrix derived from multiple aligned protein sequences |
| Q35025879 | Structural pursuit over multiple undirected graphs |
| Q31153573 | Structural zeros in high-dimensional data with applications to microbiome studies |
| Q91917022 | Structure-function relationships of HDL in diabetes and coronary heart disease |
| Q42691135 | Structured Learning of Gaussian Graphical Models |
| Q34319738 | Study on the Relationships between Intrinsic Functional Connectivity of the Default Mode Network and Transient Epileptic Activity. |
| Q36270628 | Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data |
| Q35240956 | Subject-specific functional parcellation via prior based eigenanatomy |
| Q90285784 | Symptoms of persistent complex bereavement disorder, depression, and PTSD in a conjugally bereaved sample: a network analysis |
| Q57191466 | Symptoms of social anxiety disorder and major depressive disorder: A network perspective |
| Q28543034 | System model network for adipose tissue signatures related to weight changes in response to calorie restriction and subsequent weight maintenance |
| Q38046601 | Systematic deciphering of cancer genome networks |
| Q39556437 | Systematic identification of protein combinations mediating chromatin looping. |
| Q47397587 | Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches |
| Q39117056 | Systems Genetics as a Tool to Identify Master Genetic Regulators in Complex Disease |
| Q27347321 | TRANSPOSABLE REGULARIZED COVARIANCE MODELS WITH AN APPLICATION TO MISSING DATA IMPUTATION |
| Q38680871 | Taxon abundance, diversity, co-occurrence and network analysis of the ruminal microbiota in response to dietary changes in dairy cows. |
| Q42598848 | Temporal graphical models for cross-species gene regulatory network discovery |
| Q39078445 | Testing group differences in brain functional connectivity: using correlations or partial correlations? |
| Q33742735 | The BET protein FSH functionally interacts with ASH1 to orchestrate global gene activity in Drosophila |
| Q41872574 | The Bayesian Covariance Lasso |
| Q89783384 | The Effects of Using Partial or Uncorrected Correlation Matrices When Comparing Network and Latent Variable Models |
| Q37656999 | The Experience of Sexual Stigma and the Increased Risk of Attempted Suicide in Young Brazilian People from Low Socioeconomic Group |
| Q92342237 | The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities |
| Q39148577 | The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression |
| Q45962701 | The Sparse Matrix Transform for Covariance Estimation and Analysis of High Dimensional Signals |
| Q91665877 | The UKB envirome of depression: from interactions to synergistic effects |
| Q36795829 | The application of a network approach to Health-Related Quality of Life (HRQoL): introducing a new method for assessing HRQoL in healthy adults and cancer patients |
| Q64269047 | The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach |
| Q42685103 | The centrality of affective instability and identity in Borderline Personality Disorder: Evidence from network analysis |
| Q41495368 | The cluster graphical lasso for improved estimation of Gaussian graphical models |
| Q47780457 | The core symptoms of bulimia nervosa, anxiety, and depression: A network analysis |
| Q41527528 | The fastclime Package for Linear Programming and Large-Scale Precision Matrix Estimation in R |
| Q41957694 | The graphical lasso: New insights and alternatives |
| Q36508982 | The huge Package for High-dimensional Undirected Graph Estimation in R. |
| Q92670073 | The impact of exposure to wagering advertisements and inducements on intended and actual betting expenditure: An ecological momentary assessment study |
| Q39330253 | The joint graphical lasso for inverse covariance estimation across multiple classes |
| Q90332409 | The network of psychopathic personality traits: A network analysis of four self-report measures of psychopathy |
| Q92088397 | The network structure of core depressive symptom-domains in major depressive disorder following antidepressant treatment: a randomized clinical trial |
| Q99415217 | The relations among worry, meta-worry, intolerance of uncertainty and attentional bias for threat in men at high risk for generalized anxiety disorder: a network analysis |
| Q90016195 | The symptoms at the center: Examining the comorbidity of posttraumatic stress disorder, generalized anxiety disorder, and depression with network analysis |
| Q104466257 | The validity of the fifth and the 10th Body Mass Index percentile as weight cut-offs for anorexia nervosa in adolescence: No evidence from quantitative and network investigation of psychopathology |
| Q36246283 | Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis |
| Q30365719 | Time-dependence of graph theory metrics in functional connectivity analysis. |
| Q54937088 | Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. |
| Q35136496 | Topological organization of the "small-world" visual attention network in children with attention deficit/hyperactivity disorder (ADHD) |
| Q42070418 | Toward a multisubject analysis of neural connectivity |
| Q42023574 | Toward breaking the histone code: bayesian graphical models for histone modifications |
| Q92338651 | Toward incorporating genetic risk scores into symptom networks of psychosis |
| Q37577089 | Tracking whole-brain connectivity dynamics in the resting state |
| Q37550206 | Transcriptome characterization by RNA sequencing identifies a major molecular and clinical subdivision in chronic lymphocytic leukemia |
| Q102203439 | Transdiagnostic time-varying dysconnectivity across major psychiatric disorders |
| Q45329207 | Ultranet: efficient solver for the sparse inverse covariance selection problem in gene network modeling |
| Q64283681 | Uncovering the structure of self-regulation through data-driven ontology discovery |
| Q47094556 | Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions. |
| Q35909361 | Use of Wishart Prior and Simple Extensions for Sparse Precision Matrix Estimation |
| Q36264951 | Using Triplet Ordering Preferences for Estimating Causal Effects in the Analysis of Gene Expression Data. |
| Q64261204 | Using a Gaussian Graphical Model to Explore Relationships Between Items and Variables in Environmental Psychology Research |
| Q38616978 | Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins |
| Q38712976 | VARIABLE SELECTION FOR HIGH DIMENSIONAL MULTIVARIATE OUTCOMES. |
| Q99616242 | Value of dynamic clinical and biomarker data for mortality risk prediction in COVID-19: a multicentre retrospective cohort study |
| Q34998817 | Variation in the human immune system is largely driven by non-heritable influences |
| Q64078271 | Verbal Abuse Related to Self-Esteem Damage and Unjust Blame Harms Mental Health and Social Interaction in College Population |
| Q90447620 | Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification |
| Q36383191 | Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study |
| Q36367832 | gCoda: Conditional Dependence Network Inference for Compositional Data |
| Q113307323 | netrd: A library for network reconstruction and graph distances |
| Q51304816 | p53 pathway dysfunction is highly prevalent in acute myeloid leukemia independent of TP53 mutational status. |
| Q93035569 | piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks |
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