Article

Asymmetric trichotomous data partitioning enables development of predictive machine learning models using limited siRNA efficacy datasets

2022-07-10

Abstract excerpt

<h4>ABSTRACT</h4> Chemically modified small interfering RNAs (siRNAs) are promising therapeutics guiding sequence-specific silencing of disease genes. However, identifying chemically modified siRNA sequences that effectively silence target genes is a challenge. Such determinations necessitate computational algorithms. Machine Learning (ML) is a powerful predictive approach for tackling biological problems, but ty...

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Literature Corpus work: 1d23307a-8fc1-5948-a4d8-ff2b0f3f665a
DOI: 10.1101/2022.07.08.499317

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