Computational method for single cell ATAC-seq imputation and dimensionality reduction

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: RWTH Aachen University, Dissertation, 2022

Keyword: Chromatin
Zelle
Einzelzellanalyse
Datenanalyse
Genexpression

Event: Veröffentlichung

(where): Aachen

(who): Universitätsbibliothek der RWTH Aachen

(when): 2022

Creator: Li, Zhijian

Contributor: Berlage, Thomas
Costa Filho, Ivan Gesteira
Schaub, Michael Thomas

DOI: 10.18154/RWTH-2022-07834

URN: urn:nbn:de:101:1-2022091402092573947226

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Associated

Li, Zhijian
Berlage, Thomas
Costa Filho, Ivan Gesteira
Schaub, Michael Thomas
Universitätsbibliothek der RWTH Aachen

Time of origin

2022

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Modeling fragment counts improves single-cell ATAC-seq analysis

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

Single-cell ATAC-seq signal extraction and enhancement with SCATE

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ATAC-seq with unique molecular identifiers improves quantification and footprinting

Application of ATAC-seq in tumor-specific T cell exhaustion

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

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simATAC: a single-cell ATAC-seq simulation framework

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

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Joint analysis of scATAC-seq datasets using epiConv

An ATAC-seq atlas of chromatin accessibility in mouse tissues

ATAC-seq with unique molecular identifiers improves quantification and footprinting

Application of ATAC-seq in tumor-specific T cell exhaustion

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Computational method for single cell ATAC-seq imputation and dimensionality reduction

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Time of origin

Other Objects (12)

simATAC: a single-cell ATAC-seq simulation framework

Assessment of computational methods for the analysis of single-cell ATAC-seq data

Modeling fragment counts improves single-cell ATAC-seq analysis

Identification of transcription factor binding sites using ATAC-seq

Identification of transcription factor binding sites using ATAC-seq

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

Single-cell ATAC-seq signal extraction and enhancement with SCATE

Joint analysis of scATAC-seq datasets using epiConv

An ATAC-seq atlas of chromatin accessibility in mouse tissues

ATAC-seq with unique molecular identifiers improves quantification and footprinting

Application of ATAC-seq in tumor-specific T cell exhaustion

simATAC: a single-cell ATAC-seq simulation framework

Assessment of computational methods for the analysis of single-cell ATAC-seq data

Modeling fragment counts improves single-cell ATAC-seq analysis

Identification of transcription factor binding sites using ATAC-seq

Identification of transcription factor binding sites using ATAC-seq

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

Single-cell ATAC-seq signal extraction and enhancement with SCATE

Joint analysis of scATAC-seq datasets using epiConv

An ATAC-seq atlas of chromatin accessibility in mouse tissues

ATAC-seq with unique molecular identifiers improves quantification and footprinting

Application of ATAC-seq in tumor-specific T cell exhaustion

simATAC: a single-cell ATAC-seq simulation framework

Assessment of computational methods for the analysis of single-cell ATAC-seq data

Modeling fragment counts improves single-cell ATAC-seq analysis

Identification of transcription factor binding sites using ATAC-seq

Identification of transcription factor binding sites using ATAC-seq

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

Single-cell ATAC-seq signal extraction and enhancement with SCATE

Joint analysis of scATAC-seq datasets using epiConv

An ATAC-seq atlas of chromatin accessibility in mouse tissues

ATAC-seq with unique molecular identifiers improves quantification and footprinting

Application of ATAC-seq in tumor-specific T cell exhaustion

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