A Comparative Study of Machine Learning Techniques for Cell Annotation of scRNA-Seq Data

A Comparative Study of Machine Learning Techniques for Cell Annotation of scRNA-Seq Data

Accurate cell type annotation is a critical step in single-cell RNA sequencing (scRNA-seq) analysis, enabling deeper insights into cellular heterogeneity and biological processes. In this study, we conducted a comprehensive comparative evaluation of various machine learning techniques, including sup...

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Bibliographic Details
Main Authors: Shahid Ahmad Wani, SMK Quadri, Mohammad Shuaib Mir, Yonis Gulzar
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Algorithms
Subjects:
cell annotation
single-cell
clustering
machine learning
scRNA-seq
Online Access:https://www.mdpi.com/1999-4893/18/4/232
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