Understanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge

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Understanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge is …
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scholarly articleQ13442814

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P8978DBLP publication IDjournals/bioinformatics/RhrissorrakraiBBNPMDIARPSMH15
P356DOI10.1093/BIOINFORMATICS/BTU611
P8608Fatcat IDrelease_zz5or5hjq5duxceag2iuewpcoe
P932PMC publication ID4325540
P698PubMed publication ID25236459
P5875ResearchGate publication ID265863848

P50authorPablo MeyerQ59532745
Vincenzo BelcastroQ59662464
Gustavo StolovitzkyQ89323197
Leonidas G AlexopoulosQ90911115
Julia HoengQ92429909
Manuel C. PeitschQ37392250
Raquel NorelQ43126215
P2093author name stringJ Jeremy Rice
Erhan Bilal
Kahn Rhrissorrakrai
Nikolai V Ivanov
Carole Mathis
Carine Poussin
Rémi H J Dulize
P2860cites workHow confident can we be that orthologs are similar, but paralogs differ?Q22162507
Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profilesQ24536351
Systematic discovery of nonobvious human disease models through orthologous phenotypesQ24600277
The human disease networkQ24678240
Linear models and empirical bayes methods for assessing differential expression in microarray experimentsQ27860758
Network biology: understanding the cell's functional organizationQ27861027
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The ENCODE (ENCyclopedia Of DNA Elements) ProjectQ29547219
Identification of functional elements and regulatory circuits by Drosophila modENCODEQ29617551
Industrial methodology for process verification in research (IMPROVER): toward systems biology verificationQ30513851
Drug repositioning: a machine-learning approach through data integrationQ30651571
Identification of small molecules enhancing autophagic function from drug network analysisQ33712703
Combined logical and data-driven models for linking signalling pathways to cellular response.Q33950966
The viral mimic, polyinosinic:polycytidylic acid, induces fever in rats via an interleukin-1-dependent mechanism.Q33979195
Null mutations in human and mouse orthologs frequently result in different phenotypesQ34011529
Interspecies translation of disease networks increases robustness and predictive accuracy.Q34071347
Discovery of drug mode of action and drug repositioning from transcriptional responsesQ34093341
Reconstruction of cellular signalling networks and analysis of their propertiesQ34385115
The species translation challenge-a systems biology perspective on human and rat bronchial epithelial cellsQ35066534
Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challengeQ35076215
Conservation of transcription factor binding events predicts gene expression across speciesQ35198311
Integrated genome analysis suggests that most conserved non-coding sequences are regulatory factor binding sitesQ36228477
Applications of Luminex xMAP technology for rapid, high-throughput multiplexed nucleic acid detectionQ36231307
Predicting the binding preference of transcription factors to individual DNA k-mers.Q37153250
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature ChallengeQ37262198
PI3K/Akt: getting it right mattersQ37310202
When orthologs diverge between human and mouseQ37890153
Tissue-specific transcriptional regulation has diverged significantly between human and mouseQ41833705
Domain adaptation via transfer component analysis.Q45962400
P275copyright licenseCreative Commons Attribution-NonCommercial 4.0 InternationalQ34179348
P6216copyright statuscopyrightedQ50423863
P4510describes a project that useslimmaQ112236343
P433issue4
P407language of work or nameEnglishQ1860
P921main subjecthuman biologyQ339557
lessons learnedQ1673259
P304page(s)471-483
P577publication date2014-09-17
P1433published inBioinformaticsQ4914910
P1476titleUnderstanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge
P478volume31

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Q37684551How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology
Q61844898Human blood gene signature as a marker for smoking exposure: computational approaches of the top ranked teams in the sbv IMPROVER Systems Toxicology challenge
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