Standard
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data. / Kinalis, Savvas; Nielsen, Finn Cilius; Winther, Ole; Bagger, Frederik Otzen.
In:
BMC Bioinformatics, Vol. 20, 379, 2019.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Kinalis, S
, Nielsen, FC, Winther, O & Bagger, FO 2019, '
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data',
BMC Bioinformatics, vol. 20, 379.
https://doi.org/10.1186/s12859-019-2952-9
APA
Kinalis, S.
, Nielsen, F. C., Winther, O., & Bagger, F. O. (2019).
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data.
BMC Bioinformatics,
20, [379].
https://doi.org/10.1186/s12859-019-2952-9
Vancouver
Kinalis S
, Nielsen FC, Winther O, Bagger FO.
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data.
BMC Bioinformatics. 2019;20. 379.
https://doi.org/10.1186/s12859-019-2952-9
Author
Kinalis, Savvas ; Nielsen, Finn Cilius ; Winther, Ole ; Bagger, Frederik Otzen. / Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data. In: BMC Bioinformatics. 2019 ; Vol. 20.
Bibtex
@article{2bfca381b48b450e8ca8dcd8e89d2045,
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",
doi = "10.1186/s12859-019-2952-9",
language = "English",
volume = "20",
journal = "B M C Bioinformatics",
issn = "1471-2105",
publisher = "BioMed Central Ltd.",
}
RIS
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
Y1 - 2019
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
VL - 20
JO - B M C Bioinformatics
JF - B M C Bioinformatics
SN - 1471-2105
M1 - 379
ER -