Seurat function argument values in scRNA-seq data analysis: potential pitfalls and refinements for biological interpretation

Seurat function argument values in scRNA-seq data analysis: potential pitfalls and refinements for biological interpretation

Processing biological data is a challenge of paramount importance as the amount of accumulated data has been annually increasing along with the emergence of new methods for studying biological objects. Blind application of mathematical methods in biology may lead to erroneous hypotheses and conclusi...

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Bibliographic Details
Main Authors: Mikhail Arbatsky, Ekaterina Vasilyeva, Veronika Sysoeva, Ekaterina Semina, Valeri Saveliev, Kseniya Rubina
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Bioinformatics
Subjects:
biocentric mathematics
ScRNA-seq
dimension reduction
cell clustering
datasets integration
Online Access:https://www.frontiersin.org/articles/10.3389/fbinf.2025.1519468/full
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