Phenotype driven data augmentation methods for transcriptomic data

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf124
Citations
1
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.23

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article

Phenotype driven data augmentation methods for transcriptomic data

María Rodríguez Martínez, Mara Graziani, Nikita Janakarajan
1 citations
Bioinformatics Advances
Gene expression and cancer classification
0.23
article

Phenotype driven data augmentation methods for transcriptomic data

María Rodríguez Martínez, Mara Graziani, Nikita Janakarajan
article en
1 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
ETH Zurich (CH), IBM Research - Zurich (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 39%
Gene expression and cancer classification
0.23
DOIOpen Access PDFOpenAlex
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Phenotype driven data augmentation methods for transcriptomic data — María Rodríguez Martínez, Mara Graziani, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS