A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1474-760X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data ; volume:23 ; number:1 ; day:12 ; month:1 ; year:2022 ; pages:1-23 ; date:12.2022
Genome biology ; 23, Heft 1 (12.1.2022), 1-23, 12.2022

Creator: Li, Gaoyang
Fu, Shaliu
Wang, Shuguang
Zhu, Chenyu
Duan, Bin
Tang, Chen
Chen, Xiaohan
Chuai, Guohui
Wang, Ping
Liu, Qi

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13059-021-02595-6

URN: urn:nbn:de:101:1-2022042620340468438191

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

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Associated

Li, Gaoyang
Fu, Shaliu
Wang, Shuguang
Zhu, Chenyu
Duan, Bin
Tang, Chen
Chen, Xiaohan
Chuai, Guohui
Wang, Ping
Liu, Qi
SpringerLink (Online service)

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A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data

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Other Objects (12)

scReadSim: a single-cell RNA-seq and ATAC-seq read simulator

Integrative single-cell RNA-seq and ATAC-seq analysis of myogenic differentiation in pig

scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration

Nuclei isolation from fresh frozen brain tumors for single-nucleus RNA-seq and ATAC-seq

GNNMF: a multi-view graph neural network for ATAC-seq motif finding

Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement

Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement

Benchmarking algorithms for joint integration of unpaired and paired single-cell RNA-seq and ATAC-seq data

Integrative analysis based on ATAC-seq and RNA-seq reveals a novel oncogene PRPF3 in hepatocellular carcinoma

simATAC: a single-cell ATAC-seq simulation framework

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Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types

scReadSim: a single-cell RNA-seq and ATAC-seq read simulator

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scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration

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GNNMF: a multi-view graph neural network for ATAC-seq motif finding

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Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement

Benchmarking algorithms for joint integration of unpaired and paired single-cell RNA-seq and ATAC-seq data

Integrative analysis based on ATAC-seq and RNA-seq reveals a novel oncogene PRPF3 in hepatocellular carcinoma

simATAC: a single-cell ATAC-seq simulation framework

ATAC-seq and RNA-seq analysis unravel the mechanism of sex differentiation and infertility in sex reversal chicken

Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types

scReadSim: a single-cell RNA-seq and ATAC-seq read simulator

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GNNMF: a multi-view graph neural network for ATAC-seq motif finding

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