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Deep Learning based deconvolution methods: a systematic review

Deep Learning based deconvolution methods: a systematic review

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3171089393

Deep Learning based deconvolution methods: a systematic review

About this item

Full title

Deep Learning based deconvolution methods: a systematic review

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2025-02

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

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

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