VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
About this item
Full title
Author / Creator
Stanley, Natalie , Stelzer, Ina A. , Tsai, Amy S. , Fallahzadeh, Ramin , Ganio, Edward , Becker, Martin , Phongpreecha, Thanaphong , Nassar, Huda , Ghaemi, Sajjad , Maric, Ivana , Culos, Anthony , Chang, Alan L. , Xenochristou, Maria , Han, Xiaoyuan , Espinosa, Camilo , Rumer, Kristen , Peterson, Laura , Verdonk, Franck , Gaudilliere, Dyani , Tsai, Eileen , Feyaerts, Dorien , Einhaus, Jakob , Ando, Kazuo , Wong, Ronald J. , Obermoser, Gerlinde , Shaw, Gary M. , Stevenson, David K. , Angst, Martin S. , Gaudilliere, Brice and Aghaeepour, Nima
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
High-throughput single-cell analysis technologies produce an abundance of data that is critical for profiling the heterogeneity of cellular systems. We introduce VoPo (
https://github.com/stanleyn/VoPo
), a machine learning algorithm for predictive modeling and comprehensive visua...
Alternative Titles
Full title
VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
Authors, Artists and Contributors
Author / Creator
Stelzer, Ina A.
Tsai, Amy S.
Fallahzadeh, Ramin
Ganio, Edward
Becker, Martin
Phongpreecha, Thanaphong
Nassar, Huda
Ghaemi, Sajjad
Maric, Ivana
Culos, Anthony
Chang, Alan L.
Xenochristou, Maria
Han, Xiaoyuan
Espinosa, Camilo
Rumer, Kristen
Peterson, Laura
Verdonk, Franck
Gaudilliere, Dyani
Tsai, Eileen
Feyaerts, Dorien
Einhaus, Jakob
Ando, Kazuo
Wong, Ronald J.
Obermoser, Gerlinde
Shaw, Gary M.
Stevenson, David K.
Angst, Martin S.
Gaudilliere, Brice
Aghaeepour, Nima
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e63eb4be164c423694059f87cd18e59d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e63eb4be164c423694059f87cd18e59d
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-020-17569-8
