AITeQ: a machine learning framework for Alzheimer's prediction using a distinctive five-gene signature.

Saved in:
Bibliographic Details
Title: AITeQ: a machine learning framework for Alzheimer's prediction using a distinctive five-gene signature.
Authors: Ahammad I; Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh., Lamisa AB; Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh., Bhattacharjee A; Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh., Jamal TB; Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh., Arefin MS; Department of Biochemistry and Microbiology, North South University, Bashundhara, Dhaka 1229, Bangladesh., Chowdhury ZM; Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh., Hossain MU; Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh., Das KC; Molecular Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh., Keya CA; Department of Biochemistry and Microbiology, North South University, Bashundhara, Dhaka 1229, Bangladesh., Salimullah M; Molecular Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh.
Source: Briefings in bioinformatics [Brief Bioinform] 2024 May 23; Vol. 25 (4).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1477-4054
DOI:10.1093/bib/bbae291