about
Crowdsourcing in biomedicine: challenges and opportunitiesA scalable method for molecular network reconstruction identifies properties of targets and mutations in acute myeloid leukemiaNext generation sequencing technology and genomewide data analysis: Perspectives for retinal researchUsing biological networks to integrate, visualize and analyze genomics dataRegulatory network inferred using expression data of small sample size: application and validation in erythroid systemIntegration of 'omics' data in aging research: from biomarkers to systems biologyBig Data Analytics in Healthcare.Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewReverse engineering and identification in systems biology: strategies, perspectives and challengesLearning from Co-expression Networks: Possibilities and ChallengesCrowdsourcing for bioinformaticsBRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference.Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)Crowdsourcing biomedical research: leveraging communities as innovation enginesPrediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling.Systems Biology Approaches for Host-Fungal Interactions: An Expanding Multi-Omics FrontierA perspective on bridging scales and design of models using low-dimensional manifolds and data-driven model inferenceReverse enGENEering of Regulatory Networks from Big Data: A Roadmap for BiologistsQuantitative and logic modelling of molecular and gene networksData-driven integration of genome-scale regulatory and metabolic network modelsPrediction of Genetic Interactions Using Machine Learning and Network PropertiesA review on computational systems biology of pathogen-host interactionsIdentification of novel thyroid cancer-related genes and chemicals using shortest path algorithmInferring causal molecular networks: empirical assessment through a community-based effortMetabolic constraint-based refinement of transcriptional regulatory networksNetwork reconstruction using nonparametric additive ODE modelsReceptor tyrosine kinases fall into distinct classes based on their inferred signaling networksMIDER: network inference with mutual information distance and entropy reductionAn ensemble based top performing approach for NCI-DREAM drug sensitivity prediction challengeNetwork analysis of breast cancer progression and reversal using a tree-evolving network algorithmInference of quantitative models of bacterial promoters from time-series reporter gene dataEnsemble-based network aggregation improves the accuracy of gene network reconstructionIdentification of New Candidate Genes and Chemicals Related to Esophageal Cancer Using a Hybrid Interaction Network of Chemicals and ProteinsInference of Gene Regulatory Network Based on Local Bayesian NetworksA validated regulatory network for Th17 cell specificationReverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiationA Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML PrognosisA Noise-Filtering Method for Link Prediction in Complex NetworksTranscriptional program for nitrogen starvation-induced lipid accumulation in Chlamydomonas reinhardtiiComparability and reproducibility of biomedical data
P2860
Q19857267-2DAD722E-5FCF-453A-8593-90991096E1AEQ24289222-5AC9FBBA-64B3-45AF-8CD5-6659D7357CD0Q26746206-5632D62A-0B34-453B-973B-5B3FE84FBF36Q26748923-8892CE2A-1CB3-4015-85FF-FC60AE82FC00Q26779638-C2B51509-887F-4F20-985D-3157EB868DD8Q26786552-33F6526F-7059-44D6-9349-0741CC2B4896Q26800999-836C47DE-0A36-4B21-9041-7C902D5924A5Q27008867-1D9E3D0F-AF14-41D1-9014-3143725E8182Q27012931-4C339E6B-A66B-479E-B5B7-84054126ACEEQ27015436-E5DEFB70-E86F-4C80-AE01-F9EAA9B979CBQ27025464-A5C6B088-3E51-47A4-944C-17A691D0E5B8Q27319881-D6CE0511-F128-45E6-9E36-74D3614C0323Q27496502-18744B5D-8668-4643-AAF8-88BB07EC8530Q27887654-37294AE9-8A20-41CE-A5B3-DED203A45D40Q27902278-152FE83B-100F-4968-AC18-19C89AE67F93Q28068488-C891FEBE-FE99-47D3-83F0-C276676EA1A9Q28077722-5CEB9A1E-FF02-4BB5-94E0-12E3639635A3Q28083193-2BF92F26-E03D-4466-B585-15B0E19B005AQ28083248-C4DBD311-E1DF-4D88-A5FC-ADDC111A04B9Q28083689-AA0EA462-1C5B-4DF7-8AF2-DC9E1E576620Q28084302-243418E6-4453-444D-BA52-AF638AA224D9Q28085616-B3AB44F1-12D8-418B-804F-327B61BBA66DQ28391239-A8E3F6EF-5759-4C4A-AC38-75C48C8D1635Q28530068-378D8E2A-3F2C-4476-B174-B5414BB3EEEAQ28536645-29983EFC-46D2-4F0B-A87B-162AB9A63DB5Q28537817-0C53EECC-06F7-4241-BAEB-B3F6A527FE40Q28537891-02AB43ED-759F-4D2B-BCB9-5CB800CC544AQ28538571-56480A98-99A0-4846-83C0-B5F71B402D96Q28540186-429434F6-DAD4-48F1-B89A-22321530D04FQ28541114-1C8AEBDE-3685-4BBD-9801-9D91AF1D3EDCQ28543024-AEC2EBF7-199C-40F4-B2B7-C115E7DAECAFQ28544882-46E706A3-6E3F-439A-8A7F-B786BCC24495Q28548040-AD833938-2A3D-4FD0-9EDB-A0209661312EQ28553341-4AD313A8-0B5B-4723-AB60-C699005066AFQ28586624-4C56148C-A62B-485C-8F49-FED616E8B201Q28592241-891DC865-B9CD-42CE-8149-5CC4314981D7Q28597169-131D6C03-5243-4588-8E51-314E71E958A2Q28602287-96E6C795-1395-4F02-ABCE-84BA2C03A551Q28606795-BFFE97D6-1531-4C5B-996C-CEFAEC41F63AQ28677246-30331736-B0C3-44DA-9065-5B9ABE2C4EE6
P2860
description
2012 nî lūn-bûn
@nan
2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Wisdom of crowds for robust gene network inference
@ast
Wisdom of crowds for robust gene network inference
@en
Wisdom of crowds for robust gene network inference
@nl
type
label
Wisdom of crowds for robust gene network inference
@ast
Wisdom of crowds for robust gene network inference
@en
Wisdom of crowds for robust gene network inference
@nl
prefLabel
Wisdom of crowds for robust gene network inference
@ast
Wisdom of crowds for robust gene network inference
@en
Wisdom of crowds for robust gene network inference
@nl
P2093
P2860
P50
P3181
P356
P1433
P1476
Wisdom of crowds for robust gene network inference
@en
P2093
Daniel Marbach
Gustavo Stolovitzky
James C Costello
James J Collins
Kyle R Allison
Nicole M Vega
Robert J Prill
P2860
P2888
P304
P3181
P356
10.1038/NMETH.2016
P407
P577
2012-08-01T00:00:00Z
P5875
P6179
1023029250