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Systematic Evaluation of Feature Representations for Cancer-Associated sORF Prediction in Non-coding RNA

2026-06-20

Abstract excerpt

Short open reading frames (sORFs) within non-coding RNAs (ncRNAs) have arisen as a hidden layer of gene regulation, encoding small peptides that represent a new class of cancer regulators with diagnostic and therapeutic potential. However, inferring associations between sORFs to specific cancer types remains challenging and requires computational approaches for accurate prediction. Recently, the CoraL framework in...

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Literature Corpus work
507eb993-edc9-5844-928f-3f8a44ff83a8
DOI
10.64898/2026.06.16.732659
Open publication

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Systematic Evaluation of Feature Representations for Cancer-Associated sORF Prediction in Non-coding RNADOI 10.64898/2026.06.16.732659
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