Single-cell normalization and association testing unifying CRISPR screen and gene co-expression analyses with Normalisr

• Published in: Nature communications Vol. 12; no. 1; pp. 6395 - 13
• Main Author: Wang, Lingfei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 04.11.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/2114; 631/114/2404; 631/114/2415; 631/1647/2163; 631/553/2711; Clustered Regularly Interspaced Short Palindromic Repeats - genetics; CRISPR; Gene expression; Gene Expression Profiling; Gene regulation; Gene Regulatory Networks - genetics; Gene sequencing; Humanities and Social Sciences; Humans; multidisciplinary; Networks; Ribonucleic acid; RNA; Science; Science (multidisciplinary); Sequence Analysis, RNA - methods; Single-Cell Analysis - methods; Software; Statistics

Single-cell RNA sequencing (scRNA-seq) provides unprecedented technical and statistical potential to study gene regulation but is subject to technical variations and sparsity. Furthermore, statistical association testing remains difficult for scRNA-seq. Here we present Normalisr, a normalization and...