scholarly article | Q13442814 |
P356 | DOI | 10.1002/PMIC.201500396 |
P698 | PubMed publication ID | 26677817 |
P50 | author | Nataša Pržulj | Q21264447 |
P2093 | author name string | Vladimir Gligorijević | |
Noël Malod-Dognin | |||
P2860 | cites work | Ligand-protein inverse docking and its potential use in the computer search of protein targets of a small molecule | Q43558049 |
Quantitative image analysis of cellular heterogeneity in breast tumors complements genomic profiling | Q44071623 | ||
The microeconomics of personalized medicine: today's challenge and tomorrow's promise | Q44109340 | ||
Recognition of bacterial glycosphingolipids by natural killer T cells | Q44582192 | ||
Whole-brain functional imaging at cellular resolution using light-sheet microscopy | Q44984064 | ||
The US Food and Drug Administration perspective on cancer biomarker development. | Q51174629 | ||
Exhaustive benchmarking of the yeast two-hybrid system. | Q55053371 | ||
Predictive, personalized, preventive, participatory (P4) cancer medicine. | Q55054012 | ||
Topology and data | Q56066861 | ||
Preparing for Precision Medicine | Q58045547 | ||
Genomics: The single life | Q59083508 | ||
Genetic diagnosis by whole exome capture and massively parallel DNA sequencing | Q22066282 | ||
An integrated map of genetic variation from 1,092 human genomes | Q22122153 | ||
The complete genome of an individual by massively parallel DNA sequencing | Q22122226 | ||
Finishing the euchromatic sequence of the human genome | Q22122488 | ||
Cancer genome landscapes | Q22242276 | ||
Radiomics: extracting more information from medical images using advanced feature analysis | Q23760733 | ||
The Protein Data Bank | Q24515306 | ||
A microRNA expression signature of human solid tumors defines cancer gene targets | Q24541455 | ||
KEGG: Kyoto Encyclopedia of Genes and Genomes | Q24548371 | ||
Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders | Q24558589 | ||
The Reactome pathway knowledgebase | Q24567743 | ||
The NHGRI GWAS Catalog, a curated resource of SNP-trait associations | Q24568334 | ||
DrugBank 4.0: shedding new light on drug metabolism | Q24568341 | ||
SMPDB 2.0: big improvements to the Small Molecule Pathway Database | Q24568350 | ||
The NCBI dbGaP database of genotypes and phenotypes | Q24569609 | ||
HMDB 3.0--The Human Metabolome Database in 2013 | Q24595162 | ||
Accurate and comprehensive sequencing of personal genomes | Q24604867 | ||
The Cancer Genome Atlas Pan-Cancer analysis project | Q24606808 | ||
Five years of GWAS discovery | Q24610574 | ||
Targeted capture and massively parallel sequencing of 12 human exomes | Q24615381 | ||
The IntAct molecular interaction database in 2012 | Q24621004 | ||
Structure, function and diversity of the healthy human microbiome | Q24626370 | ||
Comprehensive molecular characterization of human colon and rectal cancer | Q24630415 | ||
Comprehensive molecular portraits of human breast tumours | Q24630844 | ||
T3DB: a comprehensively annotated database of common toxins and their targets | Q24644620 | ||
Predicting new molecular targets for known drugs | Q24649687 | ||
Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1 | Q24651548 | ||
Quantifying the relationship between co-expression, co-regulation and gene function | Q24802748 | ||
Methods for biological data integration: perspectives and challenges | Q26778582 | ||
Expression Atlas update--a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments | Q26782012 | ||
Exploring the potential of public proteomics data | Q26785886 | ||
Radiomics: the process and the challenges | Q26865378 | ||
PREDICT: a method for inferring novel drug indications with application to personalized medicine | Q27137071 | ||
4DGenome: a comprehensive database of chromatin interactions. | Q27304493 | ||
Clustering cancer gene expression data: a comparative study | Q27496523 | ||
The $1,000 genome, the $100,000 analysis? | Q27499763 | ||
Omics and integrated omics for the promotion of food and nutrition science | Q27694666 | ||
Integrated genomic analyses of ovarian carcinoma | Q27860518 | ||
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository | Q27860523 | ||
Gene expression profiling predicts clinical outcome of breast cancer | Q27860732 | ||
A novel genetic system to detect protein-protein interactions | Q27860915 | ||
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry | Q27861116 | ||
Long non-coding RNAs: insights into functions | Q28131764 | ||
Learning the parts of objects by non-negative matrix factorization | Q28146173 | ||
The BioGRID interaction database: 2015 update | Q28252221 | ||
The neXtProt knowledgebase on human proteins: current status | Q28255663 | ||
KEGG as a glycome informatics resource | Q28261384 | ||
Mass spectrometry-based proteomics turns quantitative | Q28291379 | ||
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis | Q28310564 | ||
Associating genes and protein complexes with disease via network propagation | Q28472394 | ||
Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype data | Q28534990 | ||
The WU-Minn Human Connectome Project: an overview | Q28673229 | ||
The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future | Q28674604 | ||
PubChem: a public information system for analyzing bioactivities of small molecules | Q28842768 | ||
An introduction to ROC analysis | Q29299877 | ||
Fluxomics - connecting ‘omics analysis and phenotypes | Q29307067 | ||
The ENCODE (ENCyclopedia Of DNA Elements) Project | Q29547219 | ||
UniProt: a hub for protein information | Q29547457 | ||
The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease | Q29547614 | ||
Drug repositioning: identifying and developing new uses for existing drugs | Q29614779 | ||
Cancer epigenetics: from mechanism to therapy | Q29614799 | ||
Drug target identification using side-effect similarity | Q29615103 | ||
STRING v10: protein-protein interaction networks, integrated over the tree of life | Q29615545 | ||
COSMIC: exploring the world's knowledge of somatic mutations in human cancer | Q29615725 | ||
Proteomics. Tissue-based map of the human proteome | Q29617248 | ||
Siglecs: sialic-acid-binding immunoglobulin-like lectins in cell-cell interactions and signalling. | Q35015987 | ||
A genetic approach to Mammalian glycan function | Q35099563 | ||
Exploiting drug-disease relationships for computational drug repositioning | Q35109885 | ||
KeyPathwayMiner 4.0: condition-specific pathway analysis by combining multiple omics studies and networks with Cytoscape. | Q35227430 | ||
GeneFriends: a human RNA-seq-based gene and transcript co-expression database | Q35253351 | ||
Gene: a gene-centered information resource at NCBI. | Q35253405 | ||
Integrating 'omic' information: a bridge between genomics and systems biology | Q35556187 | ||
The UniProt-GO Annotation database in 2011. | Q35630729 | ||
MethylomeDB: a database of DNA methylation profiles of the brain. | Q35630756 | ||
A computational method for clinically relevant cancer stratification and driver mutation module discovery using personal genomics profiles | Q35670972 | ||
Identification of links between small molecules and miRNAs in human cancers based on transcriptional responses | Q35767380 | ||
Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA | Q35961138 | ||
Conserved pathways within bacteria and yeast as revealed by global protein network alignment | Q36160907 | ||
Human microbiomics | Q36256342 | ||
Defining genetic interaction | Q36491179 | ||
Prediction of drug-target interaction networks from the integration of chemical and genomic spaces. | Q37283297 | ||
Epigenetic reprogramming in cancer | Q37291110 | ||
Charting a dynamic DNA methylation landscape of the human genome | Q37292011 | ||
Mapping human epigenomes | Q37338498 | ||
Metagenes and molecular pattern discovery using matrix factorization | Q37356699 | ||
Defining a comprehensive verotype using electronic health records for personalized medicine | Q37389466 | ||
Asthma endotypes: a new approach to classification of disease entities within the asthma syndrome | Q37833778 | ||
Network-based drug repositioning | Q38089597 | ||
SugarBind database (SugarBindDB): a resource of pathogen lectins and corresponding glycan targets | Q38120215 | ||
Similarity-based machine learning methods for predicting drug-target interactions: a brief review | Q38128158 | ||
Principles and methods of integrative genomic analyses in cancer | Q38206642 | ||
Advancing biopharmaceutical process science through transcriptome analysis | Q38228478 | ||
MicroRNAs in cancer: biomarkers, functions and therapy | Q38229952 | ||
The structure and function of a foot-and-mouth disease virus-oligosaccharide receptor complex. | Q38328829 | ||
Association of a novel long non-coding RNA in 8q24 with prostate cancer susceptibility | Q38947097 | ||
Continuous time Bayesian network classifiers | Q39577500 | ||
Topological network alignment uncovers biological function and phylogeny | Q41592105 | ||
Network-based stratification of tumor mutations | Q42034112 | ||
Survival of nationally shared, HLA-matched kidney transplants from cadaveric donors. The UNOS Scientific Renal Transplant Registry | Q42607724 | ||
Human symptoms-disease network | Q42668669 | ||
Systematic identification of functional orthologs based on protein network comparison | Q43252162 | ||
Use of a cDNA microarray to analyse gene expression patterns in human cancer | Q29618814 | ||
The NIH Roadmap Epigenomics Mapping Consortium | Q29619856 | ||
UniCarbKB: building a knowledge platform for glycoproteomics | Q30050744 | ||
Method for comparing the structures of protein ligand-binding sites and application for predicting protein-drug interactions. | Q30367299 | ||
Extracting insights from the shape of complex data using topology | Q30587445 | ||
JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES. | Q30642591 | ||
Drug repositioning: a machine-learning approach through data integration | Q30651571 | ||
Similarity network fusion for aggregating data types on a genomic scale | Q30742291 | ||
Bayesian joint analysis of heterogeneous genomics data | Q30747001 | ||
Inferring drug-disease associations from integration of chemical, genomic and phenotype data using network propagation | Q30763631 | ||
Big data bioinformatics. | Q30814675 | ||
The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data | Q30835761 | ||
Integration of molecular network data reconstructs Gene Ontology | Q30845305 | ||
COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems | Q30869228 | ||
Heterogeneity of Parkinson's disease in the early clinical stages using a data driven approach. | Q30982993 | ||
Integrative subtype discovery in glioblastoma using iCluster | Q31059566 | ||
The intestinal microbiota modulates the anticancer immune effects of cyclophosphamide | Q31144277 | ||
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis | Q33503982 | ||
Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM. | Q33597322 | ||
MicroRNAs as lung cancer biomarkers | Q34031213 | ||
Patient-specific data fusion defines prognostic cancer subtypes | Q34058053 | ||
Databases on food phytochemicals and their health-promoting effects | Q34173387 | ||
Drug repositioning through incomplete bi-cliques in an integrated drug-target-disease network | Q34271192 | ||
Non-invasive prenatal measurement of the fetal genome | Q34286073 | ||
Modification-specific proteomics: characterization of post-translational modifications by mass spectrometry. | Q34307706 | ||
Genetics. Genome mosaicism--one human, multiple genomes | Q34359951 | ||
Single-cell sequencing-based technologies will revolutionize whole-organism science | Q34360540 | ||
Online predicted human interaction database | Q34385609 | ||
Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data. | Q34555631 | ||
Pattern discovery and cancer gene identification in integrated cancer genomic data | Q34594856 | ||
Roles of heparan-sulphate glycosaminoglycans in cancer | Q34718195 | ||
P433 | issue | 5 | |
P921 | main subject | big data | Q858810 |
P304 | page(s) | 741-758 | |
P577 | publication date | 2015-12-17 | |
P1433 | published in | Proteomics | Q15614164 |
P1476 | title | Integrative methods for analyzing big data in precision medicine | |
P478 | volume | 16 |
Q30235315 | A Precision Medicine Initiative for Alzheimer's disease: the road ahead to biomarker-guided integrative disease modeling |
Q52579854 | A Systems Approach to Refine Disease Taxonomy by Integrating Phenotypic and Molecular Networks. |
Q92611277 | Axes of a revolution: challenges and promises of big data in healthcare |
Q38759621 | Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics |
Q88626599 | Big Data Analytics in Medicine and Healthcare |
Q62496796 | Big Data in traumatic brain injury; promise and challenges |
Q52624157 | Big Data's Role in Precision Public Health. |
Q64104757 | Big Health Data and Cardiovascular Diseases: A Challenge for Research, an Opportunity for Clinical Care |
Q60925818 | Big data hurdles in precision medicine and precision public health |
Q45945284 | Big data management challenges in health research-a literature review. |
Q57295586 | Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic |
Q38837694 | Clinically-oriented proteomic investigation of sickle cell disease: Opportunities and challenges. |
Q58751142 | Data challenges of biomedical researchers in the age of omics |
Q61797905 | Deduction of Novel Genes Potentially Involved in Keratinocytes of Type 2 Diabetes Using Next-Generation Sequencing and Bioinformatics Approaches |
Q114975635 | Desde las figlinae a los edificios: el uso del barro cocido en el sur de la Baetica |
Q89849536 | Development of Integrative Medicine Therapy for Gastrointestinal Autoimmune Diseases: A study protocol for a registry study |
Q57471980 | Drug repurposing: progress, challenges and recommendations |
Q38606293 | Eigenvector metabolite analysis reveals dietary effects on the association among metabolite correlation patterns, gene expression, and phenotypes. |
Q95270089 | From Work Well-Being to Burnout: A Hypothetical Phase Model |
Q57165768 | Germline Variants and Risk for Pancreatic Cancer: A Systematic Review and Emerging Concepts |
Q64064189 | Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform |
Q90115293 | Identification of Novel Genes in Osteoarthritic Fibroblast-Like Synoviocytes Using Next-Generation Sequencing and Bioinformatics Approaches |
Q91879842 | Identification of disease-associated loci using machine learning for genotype and network data integration |
Q91663886 | Integrated Cancer Subtyping using Heterogeneous Genome-Scale Molecular Datasets |
Q90009837 | L-HetNetAligner: A novel algorithm for Local Alignment of Heterogeneous Biological Networks |
Q98166055 | Machine learning approaches to study glioblastoma: A review of the last decade of applications |
Q57903251 | Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities |
Q58739253 | Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data |
Q94596807 | Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics |
Q36069969 | NETWORK ANALYSIS. Network analytics in the age of big data |
Q104748205 | Noninvasive biomarkers for prediction and diagnosis of heart transplantation rejection |
Q28068009 | Omics-Based Strategies in Precision Medicine: Toward a Paradigm Shift in Inborn Errors of Metabolism Investigations |
Q98161939 | OmicsON - Integration of omics data with molecular networks and statistical procedures |
Q92262673 | PROMO: an interactive tool for analyzing clinically-labeled multi-omic cancer datasets |
Q39117574 | Patient Similarity: Emerging Concepts in Systems and Precision Medicine |
Q33687566 | Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework |
Q30249224 | Precision medicine in cardiology |
Q98466717 | Protocol Improvement for RNA Extraction From Compromised Frozen Specimens Generated in Austere Conditions: A Path Forward to Transcriptomics-Pathology Systems Integration |
Q57807206 | Re-exploring the core genes and modules in the human frontal cortex during chronological aging: insights from network-based analysis of transcriptomic studies |
Q90348030 | Real-life clinical data mining: generating hypotheses for evidence-based medicine |
Q92203120 | ResponseNet v.3: revealing signaling and regulatory pathways connecting your proteins and genes across human tissues |
Q46248728 | The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges. |
Q38436237 | The maternal plasma proteome changes as a function of gestational age in normal pregnancy: a longitudinal study |
Q39006832 | The need for fundamental reforms in the pain research field to develop innovative drugs |
Q91663931 | The power of dynamic social networks to predict individuals' mental health |
Q37668704 | Understanding Physiology in the Continuum: Integration of Information from Multiple -Omics Levels |
Search more.