scMC learns biological variation through the alignment of multiple single-cell genomics datasets

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1474-760X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: scMC learns biological variation through the alignment of multiple single-cell genomics datasets ; volume:22 ; number:1 ; day:4 ; month:1 ; year:2021 ; pages:1-28 ; date:12.2021
Genome biology ; 22, Heft 1 (4.1.2021), 1-28, 12.2021

Creator: Zhang, Lihua
Nie, Qing

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13059-020-02238-2

URN: urn:nbn:de:101:1-2021020600215161827351

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

Last update: 15.08.2025, 7:34 AM CEST

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Zhang, Lihua
Nie, Qing
SpringerLink (Online service)

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scMC learns biological variation through the alignment of multiple single-cell genomics datasets

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Other Objects (12)

Single-cell genomics: coming of age

Single-cell genomics to understand disease pathogenesis

Non Equilibrium Physics of Single-Cell Genomics

Gene-level alignment of single-cell trajectories

Scaling statistical multiple sequence alignment to large datasets

scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data

Single-cell genomics of the candidate phylum Poribacteria

Application of Single-Cell Genomics in Cardiovascular Research

Microfluidics-free single-cell genomics with templated emulsification

Dissecting the human microbiome with single-cell genomics

Alignment of single-cell trajectory trees with CAPITAL

scDREAMER for atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifier

Single-cell genomics: coming of age

Single-cell genomics to understand disease pathogenesis

Non Equilibrium Physics of Single-Cell Genomics

Gene-level alignment of single-cell trajectories

Scaling statistical multiple sequence alignment to large datasets

scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data

Single-cell genomics of the candidate phylum Poribacteria

Application of Single-Cell Genomics in Cardiovascular Research

Microfluidics-free single-cell genomics with templated emulsification

Dissecting the human microbiome with single-cell genomics

Alignment of single-cell trajectory trees with CAPITAL

scDREAMER for atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifier

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Alignment of single-cell trajectory trees with CAPITAL

scDREAMER for atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifier

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