Number of the records: 1
Combination of expert guidelines-based and machine learning-based approaches leads to superior accuracy of automated prediction of clinical effect of copy number variations
Title Combination of expert guidelines-based and machine learning-based approaches leads to superior accuracy of automated prediction of clinical effect of copy number variations Author Sládeček Tomáš Co-authors Gažiová M. Kucharík Marcel Zaťková Andrea 1971- SAVBIOMED ; SAVUKTRA - Biomedicínske centrum SAV SCOPUS RID ORCID Pös Zuzana SAVBIOMED ; SAVUKTRA - Biomedicínske centrum SAV ORCID Pos Ondrej Krampl W. Tomková Erika Hyblová Michaela Minárik Gabriel Radvánszky Ján SAVBIOMED ; SAVUKTRA - Biomedicínske centrum SAV Budiš J. Szemes Tomáš Source document Scientific Reports. Vol. 13 (2023), art. no. 10531 Language eng - English Country DE - Germany URL URL link Document kind rozpis článkov z periodík (rbx) Category ADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted) Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2023 Registered in WOS Registered in SCOPUS Registered in CCC DOI 10.1038/s41598-023-37352-1 
article
File name Access Size Downloaded Type License Combination of expert guidelines‑based and machine.pdf available 2.8 MB 1 Publisher's version rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2023 2022 4.6 Q2 0.973 Q1
Number of the records: 1