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Article

Comparative analysis of models in predicting the effects of SNPs on TF-DNA binding using large-scale in vitro and in vivo data.

Briefings in bioinformatics - 22 Jan 2024

Han Dongmei, Li Yurun, Wang Linxiao, Liang Xuan, Miao Yuanyuan, Li Wenran, Wang Sijia, Wang Zhen

Abstract excerpt

Non-coding variants associated with complex traits can alter the motifs of transcription factor (TF)-deoxyribonucleic acid binding. Although many computational models have been developed to predict the effects of non-coding variants on TF binding, their predictive power lacks systematic evaluation. Here we have evaluated 14 different models built on position weight matrices (PWMs), support vector machines,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 38517697
DOI: 10.1093/bib/bbae110
PMCID: PMC10959158

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