ZetaSuite: computational analysis of two-dimensional high-throughput data from multi-target screens and single-cell transcriptomics

ZetaSuite: computational analysis of two-dimensional high-throughput data from multi-target screens and single-cell transcriptomics

Abstract Two-dimensional high-throughput data have become increasingly common in functional genomics studies, which raises new challenges in data analysis. Here, we introduce a new statistic called Zeta, initially developed to identify global splicing regulators from a two-dimensional RNAi screen, a...

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Bibliographic Details
Main Authors: Yajing Hao, Shuyang Zhang, Changwei Shao, Junhui Li, Guofeng Zhao, Dong-Er Zhang, Xiang-Dong Fu
Format: Article
Language:English
Published: BMC 2022-07-01
Series:Genome Biology
Subjects:
Zeta statistics
two-dimensional RNAi screening
Single-cell RNA-seq
Cancer dependency
Cancer checkpoint
Online Access:https://doi.org/10.1186/s13059-022-02729-4

Internet

https://doi.org/10.1186/s13059-022-02729-4

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