Gene expression data classification using topology and machine learning models

Gene expression data classification using topology and machine learning models

Abstract Background Interpretation of high-throughput gene expression data continues to require mathematical tools in data analysis that recognizes the shape of the data in high dimensions. Topological data analysis (TDA) has recently been successful in extracting robust features in several applicat...

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Bibliographic Details
Main Authors: Tamal K. Dey, Sayan Mandal, Soham Mukherjee
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Bioinformatics
Subjects:
Topological data analysis
Gene expression
Persistent cycles
Neural network
Online Access:https://doi.org/10.1186/s12859-022-04704-z

Internet

https://doi.org/10.1186/s12859-022-04704-z

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