Scalable transcriptomics analysis with Dask: applications in data science and machine learning

Scalable transcriptomics analysis with Dask: applications in data science and machine learning

Abstract Background Gene expression studies are an important tool in biological and biomedical research. The signal carried in expression profiles helps derive signatures for the prediction, diagnosis and prognosis of different diseases. Data science and specifically machine learning have many appli...

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Bibliographic Details
Main Authors: Marta Moreno, Ricardo Vilaça, Pedro G. Ferreira
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Scalable data science
Gene expression
Transcriptomics
Data analysis
Online Access:https://doi.org/10.1186/s12859-022-05065-3

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