Author

Austin Wang

Stanford UniversityORCID 0000-0001-6785-7912Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Austin Wang1 paper · University of Minnesota

Biology Disciplines

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Genomics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Research Focus:variant effect prediction· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Anshul Bharat KundajeiD· 3 shared Alden King-Yung LeungiD· 2 shared Andrew G. ClarkiD· 2 shared Haiyuan YuiD· 2 shared John T. LisiD· 2 shared Kelly CochraniD· 2 shared Mauricio I. ParamoiD· 2 shared Sagar R ShahiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Anshul Bharat KundajeORCID

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3 papers

Recent·Most cited

Molecular BiologyNature CommunicationsPeer-reviewedSep 10, 2026

Directionality of Transcriptional Regulatory Elements

You Chen, Sagar R Shah, Alden King-Yung Leung…·Haiyuan Yu

This study compares divergent and unidirectional transcriptional regulatory elements, finding that unidirectional elements are younger and less constrained, with some transcription factors modulating their directionality.

DOI 10.1038/s41467-026-76415-5

humanstatistical model

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GenomicsbioRxivPreprintSep 24, 2025

The nascent transcriptome delineates the regulatory landscape in human health and disease

Sagar R Shah, You Chen, Alden King-Yung Leung…·Haiyuan Yu

The paper presents a high-resolution atlas of transcriptional regulatory elements in human tissues and disease states using PRO-cap and deep learning models to prioritize noncoding variants.

DOI 10.1101/2025.09.24.676871

humanbulk RNA-seq

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GenomicsbioRxivPreprintFeb 18, 2025

Mapping the regulatory effects of common and rare non-coding variants across cellular and developmental contexts in the brain and heart

Andrew R. Marderstein, Soumya Kundu, Evin M. Padhi…·Stephen B. Montgomery

The paper predicts the regulatory effects of non-coding variants across brain and heart cellular contexts using deep learning, identifying rare variants with significant developmental impacts.

6 citations

humanwhole-genome sequencing

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