A general pairwise interaction model provides an accurate description of in vivo transcription factor binding sites
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Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability ModelsThermodynamics and signatures of criticality in a network of neurons.Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution.Parametric bootstrapping for biological sequence motifs.MyoD reprogramming requires Six1 and Six4 homeoproteins: genome-wide cis-regulatory module analysis.Quantitative modeling of gene expression using DNA shape features of binding sites.Random versus maximum entropy models of neural population activity.Fast motif matching revisited: high-order PWMs, SNPs and indels.The folded k-spectrum kernel: A machine learning approach to detecting transcription factor binding sites with gapped nucleotide dependenciesAn introduction to the maximum entropy approach and its application to inference problems in biology.Inverse statistical problems: from the inverse Ising problem to data science
P2860
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P2860
A general pairwise interaction model provides an accurate description of in vivo transcription factor binding sites
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին 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
A general pairwise interaction ...... scription factor binding sites
@ast
A general pairwise interaction ...... scription factor binding sites
@en
type
label
A general pairwise interaction ...... scription factor binding sites
@ast
A general pairwise interaction ...... scription factor binding sites
@en
prefLabel
A general pairwise interaction ...... scription factor binding sites
@ast
A general pairwise interaction ...... scription factor binding sites
@en
P2860
P1433
P1476
A general pairwise interaction ...... scription factor binding sites
@en
P2093
Thierry Mora
P2860
P304
P356
10.1371/JOURNAL.PONE.0099015
P407
P577
2014-06-13T00:00:00Z