Prediction of phenotype and gene expression for combinations of mutations.
about
Epistasis--the essential role of gene interactions in the structure and evolution of genetic systemsEpistasis and quantitative traits: using model organisms to study gene-gene interactionsQuantitative epistasis analysis and pathway inference from genetic interaction dataMaximal extraction of biological information from genetic interaction dataFunctional maps of protein complexes from quantitative genetic interaction data.Combination chemical geneticsA factor graph nested effects model to identify networks from genetic perturbations.A developmental systems perspective on epistasis: computational exploration of mutational interactions in model developmental regulatory networks.Integrating physical and genetic maps: from genomes to interaction networks.Systems cell biology of the mitotic spindle.Markov logic networks in the analysis of genetic data.Predicting protein phenotypes based on protein-protein interaction network.Multiple genetic interaction experiments provide complementary information useful for gene function prediction.Use of pleiotropy to model genetic interactions in a population.Chapter 5: Network biology approach to complex diseases.Dominant PRPF31 mutations are hypostatic to a recessive CNOT3 polymorphism in retinitis pigmentosa: a novel phenomenon of "linked trans-acting epistasis".Discovering pair-wise genetic interactions: an information theory-based approachAutomated Identification of Core Regulatory Genes in Human Gene Regulatory NetworksWeak Epistasis Generally Stabilizes Phenotypes in a Mouse Intercross.Feature Identification of Compensatory Gene Pairs without Sequence Homology in Yeast.Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins.Inferring gene function and network organization in Drosophila signaling by combined analysis of pleiotropy and epistasis.Prediction of gene phenotypes based on GO and KEGG pathway enrichment scores.Adding more content to screening: reactivation of FOXO as a therapeutic strategy.Towards genome-scale signalling network reconstructions.A systems-biology approach to modular genetic complexity.Past Roadblocks and New Opportunities in Transcription Factor Network Mapping.Dissection of complex gene expression using the combined analysis of pleiotropy and epistasisPredicting the effects of copy-number variation in double and triple mutant combinations.Heritable remodeling of yeast multicellularity by an environmentally responsive prion
P2860
Q22122008-95BC3534-6422-465C-AD4B-BBB879DE8F87Q26824140-ED69040C-0AF6-43DC-AAB9-3C9274C8535CQ28478118-E66C3FEA-1CCF-4B09-BBA5-764B8FC7CE4AQ28755007-8E3E3990-A0BA-47E3-9B9B-858E286EDEE8Q31153034-88E3EBC7-0D30-485A-BDEA-9A2758396307Q33378070-53A52574-F4C7-4B14-809C-AD02470E06C8Q33404054-82127797-DB0E-478C-87F6-BECC6B456A96Q33501199-4AF66668-4D7B-4539-AFB4-85436B78195BQ33609193-906ECD22-1D95-4897-80B9-74F6EE5FDBDAQ33616507-5F552D28-465A-4095-8D8B-725B325FDA86Q33722489-ED8870ED-DD2F-4A65-8896-51604C2595D0Q33851525-C309D709-B434-4959-AA89-AA1397856B81Q34318178-06BCD6C5-40E5-478D-9AF6-E67764D057BBQ34446684-075F3D14-34EE-4E8A-A1CA-4B2A65118769Q34539662-9DDB4199-06B7-4282-BB2C-26100AFDDDD7Q34556666-ED7229B2-65B2-4835-BBBD-9F6F254CC935Q35132072-BA25A6B8-EDDB-49DE-A876-874FBEB92200Q35783004-F0661325-CB71-45D1-A4D8-256E36AD0D45Q35909625-FB101EF1-68C4-4DF1-BAB1-7C3C7D996FFAQ36199891-3BCF6F95-EEF4-4090-8E03-E548C094404EQ36653801-97B36694-FB0A-4227-9816-16686349CC6BQ36851614-1C2107C9-504F-4640-85C9-1947C6B9482EQ37338200-EE039A42-121F-4FF8-901D-BA98914297B6Q37614692-DA499E21-5F95-494C-9701-E629EC734E65Q37696969-2A3B12DD-0CB5-4491-A329-4417790EC263Q37768765-CF1F6D17-5019-44CC-8F4A-D707AB74C76EQ38976283-0316B264-E910-4A29-960D-D23C48DF47E8Q41887550-ED840AFA-94A2-4BC0-AF6F-DBCE5C6B86BDQ42132833-88C78241-6F68-44A7-8D2E-4D83B8C57F15Q42263660-301D2676-7EE9-4CBF-8BAA-CB3E310AEFD6
P2860
Prediction of phenotype and gene expression for combinations of mutations.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Prediction of phenotype and gene expression for combinations of mutations.
@en
Prediction of phenotype and gene expression for combinations of mutations.
@nl
type
label
Prediction of phenotype and gene expression for combinations of mutations.
@en
Prediction of phenotype and gene expression for combinations of mutations.
@nl
prefLabel
Prediction of phenotype and gene expression for combinations of mutations.
@en
Prediction of phenotype and gene expression for combinations of mutations.
@nl
P2093
P2860
P356
P1476
Prediction of phenotype and gene expression for combinations of mutations.
@en
P2093
Bruz Marzolf
Christine Neou
Gregory W Carter
J Patrick Shelby
Susanne Prinz
Timothy Galitski
Vesteinn Thorsson
P2860
P356
10.1038/MSB4100137
P577
2007-03-27T00:00:00Z