Other Comparative analysis of models in predicting the effects of SNPs on TF-DNA binding using large-scale in vitro and in vivo data. March 22, 2024
Bioinformatics | Genetics TVAR: Assessing Tissue-specific Functional Effects of Non-coding Variants with Deep Learning. September 5, 2022
Disease Studies | Functional Genomics | Genetics DeepFun: a deep learning sequence-based model to decipher non-coding variant effect in a tissue- and cell type-specific manner. May 28, 2021
Bioinformatics | Genetics Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations. December 10, 2020
Genomics | Oncology DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure. March 28, 2020
Bioinformatics | Genetics DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variants. November 14, 2018