Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

Savvas Kinalis; Finn Cilius Nielsen; Ole Winther; Frederik Otzen Bagger

doi:10.1186/s12859-019-2952-9

Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

Savvas Kinalis, Finn Cilius Nielsen, Ole Winther, Frederik Otzen Bagger

4 Citations (Scopus)

13 Downloads (Pure)

Original language	English
Article number	379
Journal	BMC Bioinformatics
Volume	20
Number of pages	9
ISSN	1471-2105
DOIs	https://doi.org/10.1186/s12859-019-2952-9
Publication status	Published - 8 Jul 2019

Keywords

Interpretable machine learning
Deep learning
Neural networks
Manifold learning
Expression profiles
Single-cell RNA-sequencing
Gene set enrichment analysis
Functional analysis
Biological pathway analysis

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10.1186/s12859-019-2952-9Licence: CC BY

Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing dataFinal published version, 2.12 MBLicence: CC BY

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title = "Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data",

keywords = "Interpretable machine learning, Deep learning, Neural networks, Manifold learning, Expression profiles, Single-cell RNA-sequencing, Gene set enrichment analysis, Functional analysis, Biological pathway analysis",

author = "Savvas Kinalis and Nielsen, {Finn Cilius} and Ole Winther and Bagger, {Frederik Otzen}",

year = "2019",

month = jul,

day = "8",

doi = "10.1186/s12859-019-2952-9",

language = "English",

volume = "20",

journal = "BMC Bioinformatics",

issn = "1471-2105",

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TY - JOUR

T1 - Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

AU - Kinalis, Savvas

AU - Nielsen, Finn Cilius

AU - Winther, Ole

AU - Bagger, Frederik Otzen

PY - 2019/7/8

Y1 - 2019/7/8

KW - Interpretable machine learning

KW - Deep learning

KW - Neural networks

KW - Manifold learning

KW - Expression profiles

KW - Single-cell RNA-sequencing

KW - Gene set enrichment analysis

KW - Functional analysis

KW - Biological pathway analysis

U2 - 10.1186/s12859-019-2952-9

DO - 10.1186/s12859-019-2952-9

M3 - Journal article

C2 - 31286861

SN - 1471-2105

VL - 20

JO - BMC Bioinformatics

JF - BMC Bioinformatics

M1 - 379

ER -

Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

Keywords

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Cite this