Compressing regulatory networks to vectors for interpreting gene expression and genetic variants
收藏NIAID Data Ecosystem2026-03-12 收录
数据链接：
官方服务：
资源简介：
Reproducing the results of GEEK.
应用场景：
创建时间：
2021-05-26
相关数据集
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]
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
Punica granatum Transcriptome. Punica granatum
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
The basic features of the three DECs.
Breast cancer (BC) is the most common cancer among women with high morbidity and mortality. Therefore, new research is still needed for biomarker detection. GSE101124 and GSE182471 datasets were obtai
NIAID Data Ecosystem10
DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression
MotivationDifferential co-expression analysis (DCEA) has emerged in recent years as a novel, systematic investigation into gene expression data. While most DCEA studies or tools focus on the co-expres
Figshare2016-01-18 更新40
Data_Sheet_3_Dynamic TF-lncRNA Regulatory Networks Revealed Prognostic Signatures in the Development of Ovarian Cancer.PDF
The pathological development of ovarian cancer (OC) is a complex progression that depends on multiple alterations of coding and non-coding genes. Therefore, it is important to capture the transcriptio
NIAID Data Ecosystem30
