A gene sequence-to-expression machine learning model achieves improved accuracy by incorporating information about potential long-range interactions.
Yang Young Lu and William Staford Noble
Posts Tagged ‘cmptxn’
A wider field of view to predict expression | Nature Methods
November 10, 2021Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors : Nature Genetics : Nature Research
May 6, 2017http://www.nature.com/ng/journal/v49/n5/full/ng.3818.html
Ref component analysis..of transcriptomes, by @Robson_Paul &co http://www.Nature.com/ng/journal/v49/n5/full/ng.3818.html Clustering similarity of samples to tissue references
Evolution of Bow-Tie Architectures in Biology
April 28, 2017Evolution of BowTie Architectures http://journals.PLOS.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004055 3-layer, in-mid-out systems can have small a waist when their goal is compressible
Species-Specific | The Scientist Magazine(R)
September 6, 2015Scientists uncover striking differences between mouse and human gene expression across a variety of tissues.
By Jyoti Madhusoodanan | November 17, 2014
http://www.the-scientist.com/?articles.view/articleNo/41453/title/Species-Specific/
QT:{{”
The results “go a little against the grain,” said bioinformatician Mark Gerstein of Yale University who was not involved in the study. “We might think that humans and mice are very similar [genetically], but when we compare their transcriptomes, they’re more different than we thought.”
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