Reconstruction of composite regulator-target splicing networks from high-throughput transcriptome data
doi: 10.1186/1471-2164-16-s10-s7 , 10.6084/m9.figshare.1575695.v1 , 10.1184/r1/6104132.v1 , 10.1184/r1/6104132 , 10.6084/m9.figshare.1575695
pmid: 26449793
pmc: PMC4603746
handle: 10230/25221
doi: 10.1186/1471-2164-16-s10-s7 , 10.6084/m9.figshare.1575695.v1 , 10.1184/r1/6104132.v1 , 10.1184/r1/6104132 , 10.6084/m9.figshare.1575695
pmid: 26449793
pmc: PMC4603746
handle: 10230/25221
Reconstruction of composite regulator-target splicing networks from high-throughput transcriptome data
http://www.biomedcentral.com/1471-2164/16/S10/S7/
- Carnegie Mellon University United States
- The University of Texas MD Anderson Cancer Center United States
- Institució Catalana de Recerca i Estudis Avançats Spain
- The University of Texas System United States
- Universitat Pompeu Fabra Spain
Genome, Research, Regulator, Exon, Computational Biology, Exons, Development, Splicing, Alternative Splicing, Regulatory Network, Module, mRNA Processing, Gene Expression Regulation, FOS: Biological sciences, Genetics, Empalmament (Genètica), Graphical Model, Gene Regulatory Networks, Splicing Factor, Transcriptome, 69999 Biological Sciences not elsewhere classified, Biotechnology
Genome, Research, Regulator, Exon, Computational Biology, Exons, Development, Splicing, Alternative Splicing, Regulatory Network, Module, mRNA Processing, Gene Expression Regulation, FOS: Biological sciences, Genetics, Empalmament (Genètica), Graphical Model, Gene Regulatory Networks, Splicing Factor, Transcriptome, 69999 Biological Sciences not elsewhere classified, Biotechnology
27 Research products, page 1 of 3
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
chevron_left - 1
- 2
- 3
chevron_right
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).8 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
