| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1085983413 |
| P356 | DOI | 10.1038/NRG.2017.38 |
| P698 | PubMed publication ID | 28607512 |
| P50 | author | Roded Sharan | Q83769950 |
| Trey Ideker | Q16335202 | ||
| Benjamin J. Raphael | Q60057039 | ||
| P2093 | author name string | Lenore Cowen | |
| P2860 | cites work | Observation of phase transitions in spreading activation networks | Q62495660 |
| Scale-free networks: a decade and beyond | Q84285284 | ||
| Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentiality | Q21092571 | ||
| Defining functional DNA elements in the human genome | Q22066251 | ||
| A directed protein interaction network for investigating intracellular signal transduction | Q24337382 | ||
| Cytoscape: a software environment for integrated models of biomolecular interaction networks | Q24515682 | ||
| Mutational heterogeneity in cancer and the search for new cancer-associated genes | Q24606956 | ||
| GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function | Q24646439 | ||
| Network-based prediction of protein function | Q24670295 | ||
| GeneRank: using search engine technology for the analysis of microarray experiments | Q24814214 | ||
| Understanding Genotype-Phenotype Effects in Cancer via Network Approaches | Q26766543 | ||
| Integrative approaches for finding modular structure in biological networks | Q26824897 | ||
| Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review | Q27008867 | ||
| A critical assessment of Mus musculus gene function prediction using integrated genomic evidence | Q27499387 | ||
| Network biology: understanding the cell's functional organization | Q27861027 | ||
| The somatic genomic landscape of glioblastoma | Q28300185 | ||
| Associating genes and protein complexes with disease via network propagation | Q28472394 | ||
| Information flow analysis of interactome networks | Q28475566 | ||
| Identifying causal genes and dysregulated pathways in complex diseases | Q28477327 | ||
| Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses | Q28487430 | ||
| Network medicine: a network-based approach to human disease | Q29547462 | ||
| Integrative analysis of 111 reference human epigenomes | Q29615565 | ||
| Authoritative sources in a hyperlinked environment | Q29647542 | ||
| A network of protein-protein interactions in yeast | Q30004209 | ||
| Clustering and community detection in directed networks: A survey | Q30040732 | ||
| Spectral affinity in protein networks | Q30492485 | ||
| Similarity network fusion for aggregating data types on a genomic scale | Q30742291 | ||
| Predicting protein function from protein/protein interaction data: a probabilistic approach | Q30811144 | ||
| Prediction of protein function using protein-protein interaction data | Q30907918 | ||
| A statistical framework for genomic data fusion | Q30929198 | ||
| Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in Cancer | Q31032861 | ||
| Mining Alzheimer disease relevant proteins from integrated protein interactome data | Q31075680 | ||
| An integer programming framework for inferring disease complexes from network data | Q31108429 | ||
| Evaluation of clustering algorithms for protein-protein interaction networks | Q33262820 | ||
| Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity | Q33411281 | ||
| Disease candidate gene identification and prioritization using protein interaction networks | Q33412922 | ||
| RRW: repeated random walks on genome-scale protein networks for local cluster discovery | Q33501387 | ||
| Finding local communities in protein networks | Q33504906 | ||
| Systematic interpretation of genetic interactions using protein networks | Q33622989 | ||
| Candidate gene prioritization by network analysis of differential expression using machine learning approaches. | Q33692383 | ||
| Protein ranking: from local to global structure in the protein similarity network | Q33695754 | ||
| Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes | Q38518470 | ||
| Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks | Q38860753 | ||
| Walking the interactome for prioritization of candidate disease genes | Q39140568 | ||
| Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer | Q39515247 | ||
| INFERENCE OF PERSONALIZED DRUG TARGETS VIA NETWORK PROPAGATION. | Q40098516 | ||
| Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure | Q40553508 | ||
| Finding friends and enemies in an enemies-only network: a graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions | Q41345892 | ||
| Network-based stratification of tumor mutations | Q42034112 | ||
| Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps | Q42659943 | ||
| Predicting disease genes using protein-protein interactions. | Q43169919 | ||
| Improved network-based identification of protein orthologs | Q44544127 | ||
| Genome-wide inferring gene-phenotype relationship by walking on the heterogeneous network. | Q44677737 | ||
| Diffusion kernel-based logistic regression models for protein function prediction | Q45158942 | ||
| An integrative approach for causal gene identification and gene regulatory pathway inference | Q46169533 | ||
| Drug–target interaction prediction by random walk on the heterogeneous network | Q47845354 | ||
| Motif-based protein ranking by network propagation | Q48479167 | ||
| Learning kernels from biological networks by maximizing entropy | Q48533625 | ||
| Fast protein classification with multiple networks | Q50739922 | ||
| Algorithms for detecting significantly mutated pathways in cancer | Q51594945 | ||
| An Algorithmic Framework for Predicting Side Effects of Drugs | Q51594993 | ||
| Resistance distance | Q56391612 | ||
| Random walk with restart: fast solutions and applications | Q59551628 | ||
| GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop | Q33711706 | ||
| RIDDLE: reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network | Q33751211 | ||
| The power of protein interaction networks for associating genes with diseases | Q33785541 | ||
| Prioritizing candidate disease genes by network-based boosting of genome-wide association data. | Q33887815 | ||
| PRINCIPLE: a tool for associating genes with diseases via network propagation | Q34053140 | ||
| Enhancing the Prioritization of Disease-Causing Genes through Tissue Specific Protein Interaction Networks | Q34426359 | ||
| Exploiting Protein-Protein Interaction Networks for Genome-Wide Disease-Gene Prioritization | Q34426791 | ||
| Systematic differences in signal emitting and receiving revealed by PageRank analysis of a human protein interactome. | Q34427564 | ||
| Walking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases | Q34456701 | ||
| Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans | Q34475541 | ||
| Chapter 5: Network biology approach to complex diseases. | Q34539662 | ||
| Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes | Q34667055 | ||
| ToppGene Suite for gene list enrichment analysis and candidate gene prioritization | Q34982758 | ||
| Going the distance for protein function prediction: a new distance metric for protein interaction networks | Q35032288 | ||
| DADA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization | Q35126543 | ||
| How and when should interactome-derived clusters be used to predict functional modules and protein function? | Q35198634 | ||
| Vavien: An Algorithm for Prioritizing Candidate Disease Genes Based on Topological Similarity of Proteins in Interaction Networks | Q35550142 | ||
| Disease networks. Uncovering disease-disease relationships through the incomplete interactome | Q35619320 | ||
| Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression | Q35750399 | ||
| Exploiting ontology graph for predicting sparsely annotated gene function | Q35975074 | ||
| Defining functional distance using manifold embeddings of gene ontology annotations | Q36090173 | ||
| Identifying remote protein homologs by network propagation | Q36283789 | ||
| KEGG as a reference resource for gene and protein annotation | Q36434599 | ||
| eQED: an efficient method for interpreting eQTL associations using protein networks | Q36534917 | ||
| Understanding multicellular function and disease with human tissue-specific networks | Q36790036 | ||
| Global alignment of multiple protein interaction networks with application to functional orthology detection | Q36848775 | ||
| Protein networks in disease | Q37125547 | ||
| IsoRankN: spectral methods for global alignment of multiple protein networks | Q37206322 | ||
| Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE). | Q37236850 | ||
| Gene and Network Analysis of Common Variants Reveals Novel Associations in Multiple Complex Diseases | Q37347795 | ||
| New directions for diffusion-based network prediction of protein function: incorporating pathways with confidence | Q38417066 | ||
| Compact Integration of Multi-Network Topology for Functional Analysis of Genes | Q38439930 | ||
| RedNemo: topology-based PPI network reconstruction via repeated diffusion with neighborhood modifications | Q38440981 | ||
| A novel link prediction algorithm for reconstructing protein–protein interaction networks by topological similarity | Q38493528 | ||
| P433 | issue | 9 | |
| P304 | page(s) | 551-562 | |
| P577 | publication date | 2017-06-12 | |
| P13046 | publication type of scholarly work | review article | Q7318358 |
| P1433 | published in | Nature Reviews Genetics | Q1071824 |
| P1476 | title | Network propagation: a universal amplifier of genetic associations | |
| P478 | volume | 18 |
| Q64062301 | A Comprehensive Survey of Tools and Software for Active Subnetwork Identification |
| Q92588198 | A Fast and Flexible Framework for Network-Assisted Genomic Association |
| Q64236808 | A Genome-Scale Co-Functional Network of Genes Can Accurately Reconstruct Regulatory Circuits Controlled by Two-Component Signaling Systems |
| Q93172647 | A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases |
| Q92711687 | A network analysis to identify mediators of germline-driven differences in breast cancer prognosis |
| Q91754246 | A systematic approach to orient the human protein-protein interaction network |
| Q46260149 | ANAT 2.0: reconstructing functional protein subnetworks |
| Q64250703 | Analysis of Topological Parameters of Complex Disease Genes Reveals the Importance of Location in a Biomolecular Network |
| Q94572507 | Applications of molecular networks in biomedicine |
| Q64109607 | Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms |
| Q93073859 | Benchmarking network propagation methods for disease gene identification |
| Q91891917 | Bioinformatic analysis of peripheral blood RNA-sequencing sensitively detects the cause of late graft loss following overt hyperglycemia in pig-to-nonhuman primate islet xenotransplantation |
| Q55501744 | Classifying tumors by supervised network propagation. |
| Q61811629 | Comparative Analysis of Normalization Methods for Network Propagation |
| Q98224901 | Comprehensive Network Analysis Reveals Alternative Splicing-Related lncRNAs in Hepatocellular Carcinoma |
| Q64359300 | Connectivity and complex systems: learning from a multi-disciplinary perspective |
| Q64099408 | Differentially mutated subnetworks discovery |
| Q92003430 | Discovering Links Between Side Effects and Drugs Using a Diffusion Based Method |
| Q92651764 | Disease classification via gene network integrating modules and pathways |
| Q92034887 | Estimating dispensable content in the human interactome |
| Q48229488 | Evolutionary and genetic features of drug targets. |
| Q90231239 | Exploration of Target Synergy in Cancer Treatment by Cell-Based Screening Assay and Network Propagation Analysis |
| Q100387963 | Functional genomic screens identify human host factors for SARS-CoV-2 and common cold coronaviruses |
| Q101121111 | Functional in vivo and in vitro effects of 20q11.21 genetic aberrations on hPSC differentiation |
| Q64117167 | Functional protein representations from biological networks enable diverse cross-species inference |
| Q99617831 | Gaussian Embedding for Large-scale Gene Set Analysis |
| Q91732560 | Genes with High Network Connectivity Are Enriched for Disease Heritability |
| Q104470312 | Genetic Screens Identify Host Factors for SARS-CoV-2 and Common Cold Coronaviruses |
| Q99638192 | Genome-wide pathogenesis interpretation using a heat diffusion-based systems genetics method and implications for gene function annotation |
| Q92161801 | Geometric characterisation of disease modules |
| Q90480935 | Graph embedding on biomedical networks: methods, applications and evaluations |
| Q92816080 | Hamiltonian energy as an efficient approach to identify the significant key regulators in biological networks |
| Q89736358 | Heterogeneous Multi-Layered Network Model for Omics Data Integration and Analysis |
| Q52626039 | Heterogeneous network propagation for herb target identification |
| Q58757869 | Hierarchical HotNet: identifying hierarchies of altered subnetworks |
| Q89629190 | Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation |
| Q89519141 | Identification of cancer driver genes based on nucleotide context |
| Q48166040 | Inferring hidden causal relations between pathway members using reduced Google matrix of directed biological networks |
| Q91956298 | Integrated querying and version control of context-specific biological networks |
| Q60923564 | Integrating node embeddings and biological annotations for genes to predict disease-gene associations |
| Q52373176 | Integrative omics for health and disease |
| Q59349974 | Interpretation of an individual functional genomics experiment guided by massive public data |
| Q90009837 | L-HetNetAligner: A novel algorithm for Local Alignment of Heterogeneous Biological Networks |
| Q90375389 | LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes |
| Q57903251 | Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities |
| Q90380034 | Network Diffusion Promotes the Integrative Analysis of Multiple Omics |
| Q58580378 | Network and Pathway Analysis of Toxicogenomics Data |
| Q103826048 | Network and pathway expansion of genetic disease associations identifies successful drug targets |
| Q58799701 | Network enhancement as a general method to denoise weighted biological networks |
| Q100635607 | Network integration and modelling of dynamic drug responses at multi-omics levels |
| Q92027490 | Network-Based Integrative Analysis of Genomics, Epigenomics and Transcriptomics in Autism Spectrum Disorders |
| Q53269083 | PhenoRank: reducing study bias in gene prioritisation through simulation. |
| Q96946088 | PrGeFNE: Predicting disease-related genes by fast network embedding |
| Q89997528 | Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach |
| Q95840270 | Predicting miRNA-based disease-disease relationships through network diffusion on multi-omics biological data |
| Q97542033 | Prediction of cancer driver genes through network-based moment propagation of mutation scores |
| Q93147531 | PropaNet: Time-Varying Condition-Specific Transcriptional Network Construction by Network Propagation |
| Q90243732 | Protein interaction disruption in cancer |
| Q47595178 | Proteomics and phosphoproteomics in precision medicine: applications and challenges. |
| Q61804991 | Ranking Cancer Proteins by Integrating PPI Network and Protein Expression Profiles |
| Q61446859 | Representing dynamic biological networks with multi-scale probabilistic models |
| Q92203120 | ResponseNet v.3: revealing signaling and regulatory pathways connecting your proteins and genes across human tissues |
| Q92998912 | Robust single-cell Hi-C clustering by convolution- and random-walk-based imputation |
| Q47774316 | Sex-specific disease-associated modules for depression |
| Q104064441 | SkipGNN: predicting molecular interactions with skip-graph networks |
| Q90029597 | Supervised-learning is an accurate method for network-based gene classification |
| Q92971911 | Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers |
| Q92948546 | Topology Effects on Sparse Control of Complex Networks with Laplacian Dynamics |
| Q57295441 | Typing tumors using pathways selected by somatic evolution |
| Q92121677 | Using deep maxout neural networks to improve the accuracy of function prediction from protein interaction networks |
| Q100560251 | Using whole-exome sequencing and protein interaction networks to prioritize candidate genes for germline cutaneous melanoma susceptibility |
| Q92283896 | Venn-diaNet : venn diagram based network propagation analysis framework for comparing multiple biological experiments |
| Q64061742 | scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data |
Search more.