Understanding gene regulatory mechanisms by integrating ChIP-seq and RNA-seq data: statistical solutions to biological problems.
about
Single-cell transcriptome sequencing: recent advances and remaining challengesMechanisms underlying epigenetic and transcriptional heterogeneity in Chinese hamster ovary (CHO) cell linesA survey of best practices for RNA-seq data analysisIntegrative Analysis of Histone ChIP-seq and RNA-seq Data.MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach.Editorial: Multi-omic data integrationInference of transcriptional regulation in cancers.Techniques and Approaches to Genetic Analyses in Nephrological Disorders.Analysis of Co-Associated Transcription Factors via Ordered Adjacency Differences on Motif DistributionEpigenetic Landscape during Coronavirus InfectionInsights into the Ecology and Evolution of Polyploid Plants through Network Analysis.Pan-Cancer Mutational and Transcriptional Analysis of the Integrator Complex.CRNET: An efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data.Considerations on Experimental Design and Data Analysis of Chromatin Immunoprecipitation Experiments.Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance.Combining Pathway Identification and Breast Cancer Survival Prediction via Screening-Network Methods.
P2860
Q26767451-13E943F9-5715-494B-B17E-40B288E3F25CQ27309192-3F304773-39AF-4389-B377-BDF4E6ED4521Q28071394-20D5B2E6-DC91-4D2A-80E4-01CC98A821ADQ31111803-C9C804B6-FB9E-41D2-8E98-3A3DFEFD0B5DQ31167666-1CDE8D30-93CE-4732-86D2-45AB961E9CADQ35718777-F7069459-76FD-4AA2-BDC6-E1E8C2F36830Q35795938-9363069C-806B-4524-91DA-ADCDB7429F2FQ37032666-747051B1-FFC8-4630-B48B-E79A07235E6EQ37667845-5E102068-D71A-491A-AB22-460874AA4EE7Q37727992-D18D79E0-223F-4E1F-9ACE-28B58F9E8053Q38793458-E24EF0B7-2665-4B6B-A85D-85B618ED855EQ38806721-C5173C93-9030-49E0-8E7A-DB45B58F4D00Q47216185-627BECEC-3329-46D2-A49C-285919948060Q47659265-B4BF08D6-A128-4B7E-A250-5AA5D20C83A8Q49216913-34D4A97D-F034-426D-AFB6-7EF8BED6CD2DQ55369745-998BA076-3444-4A6C-9D43-87381407E735
P2860
Understanding gene regulatory mechanisms by integrating ChIP-seq and RNA-seq data: statistical solutions to biological problems.
description
2014 nî lūn-bûn
@nan
2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Understanding gene regulatory ...... utions to biological problems.
@ast
Understanding gene regulatory ...... utions to biological problems.
@en
type
label
Understanding gene regulatory ...... utions to biological problems.
@ast
Understanding gene regulatory ...... utions to biological problems.
@en
prefLabel
Understanding gene regulatory ...... utions to biological problems.
@ast
Understanding gene regulatory ...... utions to biological problems.
@en
P2860
P356
P1476
Understanding gene regulatory ...... utions to biological problems.
@en
P2860
P356
10.3389/FCELL.2014.00051
P577
2014-09-17T00:00:00Z