DOME : recommendations for supervised machine learning validation in biology
author
Walsh, Ian
Fishman, Dmytro
Garcia-Gasulla, Dario
Titma, Tiina
Pollastri, Gianluca
Harrow, Jennifer
Psomopoulos, Fotis E.
Tosatto, Silvio C. E.
corporate author
ELIXIR Machine Learning Focus Group
statement of authorship
Ian Walsh, Dmytro Fishman, Dario Garcia-Gasulla, Tiina Titma, Gianluca Pollastri, ELIXIR Machine Learning Focus Group, Jennifer Harrow, Fotis E. Psomopoulos & Silvio C. E. Tosatto
source
Nature methods
publisher
Springer Nature
journal volume number month
vol. 18
year of publication
2021
pages
p. 1122–1127
url
https://doi.org/10.1038/s41592-021-01205-4
subject term
bioloogilised aspektid
tehisõpe
algoritmid
ISSN
1548-7091
1548-7105
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Biochemistry, genetics and molecular biology
en
Biokeemia, geneetika ja molekulaarbioloogia
et
category (sub)
Biochemistry, genetics and molecular biology. Biochemistry
en
Biochemistry, genetics and molecular biology. Biotechnology
en
Biochemistry, genetics and molecular biology. Cell biology
en
Biochemistry, genetics and molecular biology. Molecular biology
en
Biokeemia, geneetika ja molekulaarbioloogia. Biokeemia
et
Biokeemia, geneetika ja molekulaarbioloogia. Biotehnoloogia
et
Biokeemia, geneetika ja molekulaarbioloogia. Rakubioloogia
et
Biokeemia, geneetika ja molekulaarbioloogia. Molekulaarbioloogia
et
kvartiil
Q1
TTÜ department
tervisetehnoloogiate instituut
language
inglise
Uurimisrühm
Research group on diagnostics and treatment technologies of hypertension and atherosclerosis