Konu "Cancer classification" için Mühendislik ve Mimarlık Fakültesi listeleme
Toplam kayıt 2, listelenen: 1-2
-
Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495, 2021)This paper introduces a new hybrid approach (DBH) for solving gene selection problem that incorporates the strengths of two existing metaheuristics: binary dragonfly algorithm (BDF) and binary black hole algorithm (BBHA). ... -
Mutation-based Binary Aquila optimizer for gene selection in cancer classification
(ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2022)Microarray data classification is one of the hottest issues in the field of bioinformatics due to its efficiency in diagnosing patients’ ailments. But the difficulty is that microarrays possess a huge number of genes where ...