Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ayyüce Begüm Bektaş"'
Autor:
Ayyüce Begüm Bektaş, Mehmet Gönen
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-15 (2021)
Abstract Background Identification of molecular mechanisms that determine tumour progression in cancer patients is a prerequisite for developing new disease treatment guidelines. Even though the predictive performance of current machine learning mode
Externí odkaz:
https://doaj.org/article/3bdf0d9723b14774a875cc2b5b3bfcca
Autor:
Cem Sulu, Ayyüce Begüm Bektaş, Serdar Şahin, Emre Durcan, Zehra Kara, Ahmet Numan Demir, Hande Mefkure Özkaya, Necmettin Tanrıöver, Nil Çomunoğlu, Osman Kızılkılıç, Nurperi Gazioğlu, Mehmet Gönen, Pınar Kadıoğlu
Publikováno v:
Pituitary. 25(3)
Objective To develop machine learning (ML) models that predict postoperative remission, remission at last visit, and resistance to somatostatin receptor ligands (SRL) in patients with acromegaly and to determine the clinical features associated with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd0843da7343cb3b329d4c69ddbddfde
https://pubmed.ncbi.nlm.nih.gov/35435565
https://pubmed.ncbi.nlm.nih.gov/35435565
Publikováno v:
Bioinformatics
Motivation: dataset sizes in computational biology have been increased drastically with the help of improved data collection tools and increasing size of patient cohorts. Previous kernel-based machine learning algorithms proposed for increased interp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dd8b93d6a73fe7296d4b6a9d23f3b44
http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10639
http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10639
