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Transcription factor binding sites in PIK3CA promoter*.

Figshare2015-12-02 更新2026-04-29 收录

启动子调控

转录因子预测

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https://figshare.com/articles/dataset/_Transcription_factor_binding_sites_in_PIK3CA_promoter_/165891 数据链接链接失效反馈

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Note: *As analysed by the Genomatix software and using references from Astanehe et al, 2008 and Yang et al, 2009.

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创建时间：

2015-12-02

序列基序分析

转录因子预测

Rank of the “correct” motif in the output of various programs. “Target” refers to data sets defined in [3]. “Ref.” gives the accession number in the JASPAR or miRbase database, or the target consensus

NIAID Data Ecosystem90

Solution structure of the complex formed by the region 2 of E. coli sigmaE and its cognate -10 promoter element non template strand TGTCAAA.

转录复合物结构

启动子调控

Solution structure of the complex formed by the region 2 of E. coli sigmaE and its cognate -10 promoter element non template strand TGTCAAA. Descriptor: DNA, RNA polymerase sigma factor Authors: Campa

Protein Data Bank Japan2024-05-15 更新60

Average AUC in cross-classification experiments.

转录因子预测

交叉分类性能评估

Table 6 indicates the average AUC score across ten classifiers where training data from one TF (rows) was used to train a classifier that classified TFBS for another TF (columns).

Figshare2015-12-02 更新30

Predicting master transcription factors from pan-cancer expression data

癌症转录调控

转录因子预测

Critical developmental “master transcription factors” (MTFs) can be subverted during tumorigenesis to control expression of oncogenic transcriptional programs. Current approaches to identify MTFs rely

NIAID Data Ecosystem90

Classification results on the H1-hESC test data set.

基序发现

转录因子预测

We display the sensitivity (for specificity of 99%) on the independent test data set . Here we pick the optimal model from the cross validation experiment (green) and compare it with the PWM model (bl

NIAID Data Ecosystem60

Transcription factor binding sites in PIK3CA promoter*.

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