KCML : a machine‐learning framework for inference of multi‐scale gene functions from genetic perturbation screens-Reference-Cited by-同舟云学术

KCML : a machine‐learning framework for inference of multi‐scale gene functions from genetic perturbation screens

Published:2020-03 Issue:3 Volume:16 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Sailem Heba Z¹²^ORCID,Rittscher Jens¹²^ORCID,Pelkmans Lucas³^ORCID

Affiliation:

1. Department of Engineering Science Institute of Biomedical Engineering University of Oxford Oxford UK

2. Big Data Institute Li Ka Shing Centre for Health Information and Discovery University of Oxford Oxford UK

3. Department of Molecular Life Sciences University of Zurich Zurich Switzerland

Funder

Wellcome Trust

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20199083

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