A primer on regression methods for decoding cis-regulatory logic.
about
PeakRegressor identifies composite sequence motifs responsible for STAT1 binding sites and their potential rSNPsIdentification of yeast transcriptional regulation networks using multivariate random forestsLearning "graph-mer" motifs that predict gene expression trajectories in development.A systems biology model of the regulatory network in Populus leaves reveals interacting regulators and conserved regulation.Learning transcriptional regulation on a genome scale: a theoretical analysis based on gene expression data.Combinatorial motif analysis of regulatory gene expression in Mafb deficient macrophages.A biophysical model for identifying splicing regulatory elements and their interactions.Loregic: a method to characterize the cooperative logic of regulatory factorsInference of self-regulated transcriptional networks by comparative genomicsDiscovery of protein-DNA interactions by penalized multivariate regression.Predicting promoter activities of primary human DNA sequences
P2860
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P2860
A primer on regression methods for decoding cis-regulatory logic.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
A primer on regression methods for decoding cis-regulatory logic.
@ast
A primer on regression methods for decoding cis-regulatory logic.
@en
type
label
A primer on regression methods for decoding cis-regulatory logic.
@ast
A primer on regression methods for decoding cis-regulatory logic.
@en
prefLabel
A primer on regression methods for decoding cis-regulatory logic.
@ast
A primer on regression methods for decoding cis-regulatory logic.
@en
P2860
P1476
A primer on regression methods for decoding cis-regulatory logic.
@en
P2093
Debopriya Das
Joe W Gray
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000269
P577
2009-01-30T00:00:00Z