mtmt
The Hungarian Scientific Bibliography
XML
JSON
Public search
Magyarul
Citations
/
Citings
Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer
Győrffy, Balázs ✉ [Győrffy, Balázs (Onkológia), author] II. Department of Pediatrics (SU / FM / C); Enzim_417 (IMLS); Bioinformatika Tanszék (SU / FM / I)
English Article (Journal Article) Scientific
Published:
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL 2001-0370 2001-0370
19
pp. 4101-4109
2021
SJR Scopus - Biophysics: D1
Identifiers
MTMT: 32127951
DOI:
10.1016/j.csbj.2021.07.014
WoS:
000684852400013
Scopus:
85111315910
PubMed:
34527184
Fundings:
Thematic Excellence Program (Semmelweis University)(2020-4.1.1.-TKP2020) Funder: Ministry for Innovation and Technology
Magyar-koreai kutatás-fejlesztési együttműködési pályázat(2018-2.1.17-TÉT-KR-00001) Funder: NKFIH
(FIEK_16-1-2016-0005)
(2018-1.3.1-VKE-2018-00032)
(ELIXIR Hungary)
(the Bionic thematic programme of the Semmelweis University)
Cited in (573)
Citing (10)
Citation styles:
IEEE
ACM
APA
Chicago
Harvard
CSL
Copy
Print
2025-04-04 12:41
×
Export list as bibliography
Citation styles:
IEEE
ACM
APA
Chicago
Harvard
Print
Copy