Jiao, W., Atwal, G., Polak, P., Karlic, R., Cuppen, E., Al-Shahrour, F., Bailey, P.J., Biankin, A.V., Boutros, P.C., Uusküla-Reimand, L. et al.

prindi

A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

autor

Jiao, Wei

Atwal, Gurnit

Polak, Paz

Karlic, Rosa

Cuppen, Edwin

Al-Shahrour, Fatima

Bailey, Peter J.

Biankin, Andrew V.

Boutros, Paul C.

Uusküla-Reimand, Liis

vastutusandmed

Jiao, Wei; Atwal, Gurnit; Polak, Paz; Karlic, Rosa; Cuppen, Edwin; Al-Shahrour, Fatima; Bailey, Peter J.; Biankin, Andrew V.; Boutros, Paul C.; Uusküla-Reimand Liis et al.

allikas

Nature Communications

kirjastus/väljaandja

Springer Nature

ajakirja aastakäik number kuu

vol. 11, 1

ilmumisaasta

2020

leheküljed

art. 728, 12 p. : ill

leitav

https://doi.org/10.1038/s41467-019-13825-8

märksõna

vähk (meditsiin)

mutatsioonid

diagnostika (meditsiin)

ISSN

2041-1723

märkused

Bibliogr.: 53 ref

Open Access

teaduspublikatsioon

klassifikaator

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Journal metrics at WOS

Article at WOS

kategooria (üld)

Biochemistry, genetics and molecular biology

Physics and astronomy

Chemistry

kategooria (alam)

Biochemistry, genetics and molecular biology. General biochemistry, genetics and molecular biology

Physics and astronomy. General physics and astronomy

Chemistry. General chemistry

kvartiil

TTÜ struktuuriüksus

keemia ja biotehnoloogia instituut

keel

inglise

Jiao, W., Atwal, G., Polak, P., Karlic, R., Cuppen, E., Al-Shahrour, F., Bailey, P.J., Biankin, A.V., Boutros, P.C., Uusküla-Reimand, L. et al. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns // Nature Communications (2020) vol. 11, 1, art. 728, 12 p. : ill. https://doi.org/10.1038/s41467-019-13825-8