Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity

ChEBI2014-08-01 更新2026-07-21 收录

转录因子预测

调控网络分析

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-53348 数据链接链接失效反馈

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资源简介：

Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity

创建时间：

2014-08-01

TFBindFormer_dataset

转录因子预测

DNA相互作用

This dataset contains the training, validation, and test data used for transcription factor (TF)–DNA binding prediction in the TFBindFormer framework. It integrates genomic DNA sequence bins with tran

Zenodo2026-01-26 更新90

Punica granatum Transcriptome. Punica granatum

果实发育转录组

调控网络分析

Fruits of 'Taishanhong' pomegranate at developmental stages S1, S2 and S3 were collected, of which mRNA from peels was sequenced by Illumina HiSeq 4000, respectively. Transcriptomes were used to eluci

NIAID Data Ecosystem40

comparison_col0vsskp2-Functional analysis of the SKP2 and CUL4 proteins

蛋白质功能研究

调控网络分析

rs04-04_skp2_cul4 - comparison_col0vsskp2 - Antisense and mutants of the SKP2 and CUL4 genes are compared to the Wt in order to identify the genes controlled by those SCF proteins. - Comparison Col0 v

NIAID Data Ecosystem30

Master regulators and cofactors of human neuronal cell fate specification identified by CRISPR gene activation screens [CAS_TF_sgASCL1_Screen_AmpliconSeq]. Master regulators and cofactors of human neuronal cell fate specification identified by CRISPR gene activation screens [CAS_TF_sgASCL1_Screen_AmpliconSeq]

神经元细胞命运编程

调控网络分析

Technologies to reprogram cell-type specification have revolutionized the fields of regenerative medicine and disease modeling. Currently, the selection of fate-determining factors for cell reprogramm

NIAID Data Ecosystem60

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

Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity

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