Results

eNauka >  Results >  Automated feature engineering improves prediction of protein–protein interactions
Title: Automated feature engineering improves prediction of protein–protein interactions
Authors: Šumonja, Neven  ; Gemović, Branislava S.  ; Veljković, Nevena V.  ; Perović, Vladimir R.  
Issue Date: 2019
Publication: Amino Acids
ISSN: 0939-4451 Amino Acids Search Idenfier
1438-2199 Amino Acids Search Idenfier
Type: Article
Collation: vol. 51 br. 8 str. 1187-1200
DOI: 10.1007/s00726-019-02756-9
WoS-ID: 000480488100007
Scopus-ID: 2-s2.0-85068834039
PMID: 31278492
URI: https://vinar.vin.bg.ac.rs/handle/123456789/8395
https://enauka.gov.rs/handle/123456789/159449
Project: Primena EIIP/ISM bioinformatičke platforme u otkrivanju novih terapeutskih targeta i potencijalnih terapeutskih molekula (RS-173001)
M-category: 
22M22

24
SCOPUSTM
7
PubMed CentralTM
13
OpenCitations
20
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.