C-CSN: Single-cell RNA Sequencing Data Analysis by Conditional Cell-specific Network.

ABSTRACT: The rapid advancement of single-cell technologies has shed new light on the complex mechanisms of cellular heterogeneity. However, compared to bulk RNA sequencing (RNA-seq), single-cell RNA-seq (scRNA-seq) suffers from higher noise and lower coverage, which brings new computational difficulties. Based on statistical independence, cell-specific network (CSN) is able to quantify the overall associations between genes for each cell, yet suffering from a problem of overestimation related to indirect effects. To overcome this problem, we propose the c-CSN method, which can construct the conditional cell-specific network (CCSN) for each cell. c-CSN method can measure the direct associations between genes by eliminating the indirect associations. c-CSN can be used for cell clustering and dimensio

SUBMITTER: Li L 

PROVIDER: S-EPMC8602759 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature