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Article

Technical and Biological Biases in Bulk Transcriptomic Data Mining for Cancer Research

2024-11-22

Abstract excerpt

Cancer research has been significantly advanced by the integration of transcriptomic data through high-throughput sequencing technologies like RNA sequencing (RNA-seq). This paper reviews the transformative impact of transcriptomics on understanding cancer biology, focusing on the use of extensive datasets such as The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx). While transcriptomic data provi...

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Identifiers and source

Literature Corpus work
60047ebb-3b9a-5cf7-b92d-e629bd83507e
DOI
10.20944/preprints202411.1776.v1
Open publication

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Technical and Biological Biases in Bulk Transcriptomic Data Mining for Cancer ResearchDOI 10.20944/preprints202411.1776.v1
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