bioRxiv
TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile
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, Preprint
Yang, T; Henao, R
2022
Duke Scholars
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Yang, T., & Henao, R. (2022). TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile. bioRxiv. https://doi.org/10.1101/2022.02.15.480482
Yang, Tianqi, and Ricardo Henao. “TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile.” BioRxiv, 2022. https://doi.org/10.1101/2022.02.15.480482.
Yang T, Henao R. TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile. bioRxiv. 2022.
Yang, Tianqi, and Ricardo Henao. “TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile.” BioRxiv, 2022. Epmc, doi:10.1101/2022.02.15.480482.
Yang T, Henao R. TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile. bioRxiv. 2022.