A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification

A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification

Summary: RNA-based sample discrimination and classification can be used to provide biological insights and/or distinguish between clinical groups. However, finding informative differences between sample groups can be challenging due to the multidimensional and noisy nature of sequencing data. Here,...

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Bibliographic Details
Main Authors: Tashifa Imtiaz, Jina Nanayakkara, Alexis Fang, Danny Jomaa, Harrison Mayotte, Simona Damiani, Fiza Javed, Tristan Jones, Emily Kaczmarek, Flourish Omolara Adebayo, Uroosa Imtiaz, Yiheng Li, Richard Zhang, Parvin Mousavi, Neil Renwick, Kathrin Tyryshkin
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:STAR Protocols
Subjects:
Bioinformatics
Gene Expression
RNAseq
Sequence Analysis
Sequencing
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166723006287

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