Deep Learning based deconvolution methods: a systematic review
Deep Learning based deconvolution methods: a systematic review
About this item
Full title
Author / Creator
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title
Language
English
Formats
Publication information
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Subjects
More information
Scope and Contents
Contents
Within this systematic review we examine the role of Artificial Intelligence (AI) and Deep Learning (DL) in the development of cellular deconvolution tools, with an special focus on their application to the analysis of transcriptomics data from RNA sequencing. We emphasize the critical importance of high-quality reference profiles for enhancing the...
Alternative Titles
Full title
Deep Learning based deconvolution methods: a systematic review
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_3171089393
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3171089393
Other Identifiers
E-ISSN
2692-8205
DOI
10.1101/2025.02.18.638595
How to access this item
https://www.proquest.com/docview/3171089393?pq-origsite=primo&accountid=13902