Contribution of Sequence Motif, Chromatin State, and DNA Structure Features to Predictive Models of Transcription Factor Binding in Yeast.
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Utility and Limitations of Using Gene Expression Data to Identify Functional AssociationsTransversions have larger regulatory effects than transitions.Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features.DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo.Predicting Variation of DNA Shape Preferences in Protein-DNA Interaction in Cancer Cells with a New Biophysical Model.Predictive Models of Spatial Transcriptional Response to High Salinity.
P2860
Contribution of Sequence Motif, Chromatin State, and DNA Structure Features to Predictive Models of Transcription Factor Binding in Yeast.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Contribution of Sequence Motif ...... ption Factor Binding in Yeast.
@ast
Contribution of Sequence Motif ...... ption Factor Binding in Yeast.
@en
type
label
Contribution of Sequence Motif ...... ption Factor Binding in Yeast.
@ast
Contribution of Sequence Motif ...... ption Factor Binding in Yeast.
@en
prefLabel
Contribution of Sequence Motif ...... ption Factor Binding in Yeast.
@ast
Contribution of Sequence Motif ...... ption Factor Binding in Yeast.
@en
P2860
P1476
Contribution of Sequence Motif ...... ption Factor Binding in Yeast.
@en
P2093
Huai-Kuang Tsai
P2860
P304
P356
10.1371/JOURNAL.PCBI.1004418
P577
2015-08-20T00:00:00Z