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Gene expression analysis of neural crest in zebrafish to identify novel downstream targets of Twist1

ChEBI2011-09-22 更新2026-07-21 收录

神经嵴发育

转录因子预测

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-32308 数据链接链接失效反馈

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资源简介：

Gene expression analysis of neural crest in zebrafish to identify novel downstream targets of Twist1

应用场景：

创建时间：

2011-09-22

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

Additional file 5 of Toward a base-resolution panorama of the in vivo impact of cytosine methylation on transcription factor binding

转录因子预测

表观遗传调控

Additional file 5: Table S4. Pearson correlation (r) between observed and predicted TF-binding across cell types.

Figshare2022-07-08 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

Early anteroposterior regionalisation of human neural crest is shaped by a pro-mesodermal factor. Early anteroposterior regionalisation of human neural crest is shaped by a pro-mesodermal factor

神经嵴发育

轴向模式形成

Undifferentiated human embryonic stem cells (hESCs) were treated with WNT and FGF agonists for three days to generate NMP-like axial progenitors (NMPs). Overall design: Triplicate samples of undiffere

NIAID Data Ecosystem80

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

Gene expression analysis of neural crest in zebrafish to identify novel downstream targets of Twist1

资源简介：

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