Open AccessDeep learning–based cell composition analysis from tissue expression profiles
Author(s) -
Kevin Menden,
Mohamed Marouf,
Sergio Oller Moreno,
Anupriya Dalmia,
Daniel Sumner Magruder,
Karin Kloiber,
Peter Heutink,
Stefan Bonn
Publication year - 2020
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.aba2619
Subject(s) - deconvolution , computer science , robustness (evolution) , preprocessor , artificial intelligence , discriminative model , deep learning , machine learning , data mining , pipeline (software) , pattern recognition (psychology) , computational biology , biology , gene , algorithm , biochemistry , programming language
Scaden enables robust cell type deconvolution of complex samples across data types, using a deep learning–based model.
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