Embracing the informative missingness and silent gene in analyzing biologically diverse samples.

ABSTRACT: Bioinformatics software tools are essential to identify informative molecular features that define different phenotypic sample groups. Among the most fundamental and interrelated tasks are missing value imputation, signature gene detection, and differential pattern visualization. However, many commonly used analytics tools can be problematic when handling biologically diverse samples if either informative missingness possess high missing rates with mixed missing mechanisms, or multiple sample groups are compared and visualized in parallel. We developed the ABDS tool suite specifically for analyzing biologically diverse samples. Collectively, a mechanism-integrated group-wise pre-imputation scheme is proposed to retain informative missingness associated with signature genes, a cosine-based

SUBMITTER: Du D 

PROVIDER: S-EPMC11569126 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature