Author

Tianqi Yang

Duke UniversityORCID 0000-0001-5358-9144Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:ATAC-seq· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Bing YangiD· 1 shared Chongzhi ZangiD· 1 shared Jonathan S. D. RaddaiD· 1 shared Mengwei HuiD· 1 shared Ricardo HenaoiD· 1 shared Ruihuan YuiD· 1 shared Shengyan JiniD· 1 shared Siyuan S. WangiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

Bing YangORCID

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2 papers

Recent·Most cited

GeneticsNature MethodsPeer-reviewedApr 10, 2025

Perturb-tracing enables high-content screening of multiscale 3D genome regulators

Yubao Cheng, Mengwei Hu, Bing Yang…·Siyuan S. Wang

The paper introduces Perturb-tracing, a high-content screening platform to identify regulators of 3D chromatin organization, discovering new factors that influence chromatin folding and nuclear architecture.

29 citationstop 2%

humanCRISPR screen

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedSep 12, 2022

TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile

Tianqi Yang, Ricardo Henao

TAMC predicts transcription factor binding activity from ATAC-seq data using a 1D-CNN model, outperforming existing tools, especially with limited sequencing depth.

9 citations

ATAC-seqdeep learning

𝕏 PostBluesky