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Dataset . 2025

Data sources: Datacite

ZENODO

Dataset . 2025

Data sources: Datacite

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HDMA Fragment Files + Count Matrices Muscle

Research datakeyboard_double_arrow_right Dataset 11 Apr 2025Publisher:Zenodo

Authors: Liu, Betty B.; Jessa, Selin; Kim, Samuel H.; Ng, Yan Ting; Higashino, Soon Il; Marinov, Georgi K.; Chen, Derek C.; +13 Authors

doi: 10.5281/zenodo.15014659 , 10.5281/zenodo.15014660

HDMA Fragment Files + Count Matrices Muscle

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Abstract

This is the ATAC fragment files and RNA count matrices for HDMA (Liu*, Jessa*, Kim*, Ng* et al, bioRxiv 2025). A detailed description of the main data types deposited on Zenodo can be found here.

Related Organizations

Lawrence Berkeley National Laboratory
United States
Stanford University
United States

1 Research products, page 1 of 1

Dissecting regulatory syntax in human development with scalable multiomics and deep learning
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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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HDMA Fragment Files + Count Matrices Muscle

HDMA Fragment Files + Count Matrices Muscle

1 Research products, page 1 of 1

Dissecting regulatory syntax in human development with scalable multiomics and deep learning