{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T00:12:34Z","timestamp":1776471154054,"version":"3.51.2"},"reference-count":65,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T00:00:00Z","timestamp":1718409600000},"content-version":"vor","delay-in-days":23,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Neurodegenerative diseases, such as Alzheimer\u2019s disease, pose a significant global health challenge with their complex etiology and elusive biomarkers. In this study, we developed the Alzheimer\u2019s Identification Tool (AITeQ) using ribonucleic acid-sequencing (RNA-seq), a machine learning (ML) model based on an optimized ensemble algorithm for the identification of Alzheimer\u2019s from RNA-seq data. Analysis of RNA-seq data from several studies identified 87 differentially expressed genes. This was followed by a ML protocol involving feature selection, model training, performance evaluation, and hyperparameter tuning. The feature selection process undertaken in this study, employing a combination of four different methodologies, culminated in the identification of a compact yet impactful set of five genes. Twelve diverse ML models were trained and tested using these five genes (CNKSR1, EPHA2, CLSPN, OLFML3, and TARBP1). Performance metrics, including precision, recall, F1 score, accuracy, Matthew\u2019s correlation coefficient, and receiver operating characteristic area under the curve were assessed for the finally selected model. Overall, the ensemble model consisting of logistic regression, naive Bayes classifier, and support vector machine with optimized hyperparameters was identified as the best and was used to develop AITeQ. AITeQ is available at: https:\/\/github.com\/ishtiaque-ahammad\/AITeQ.<\/jats:p>","DOI":"10.1093\/bib\/bbae291","type":"journal-article","created":{"date-parts":[[2024,6,4]],"date-time":"2024-06-04T21:14:40Z","timestamp":1717535680000},"source":"Crossref","is-referenced-by-count":7,"title":["AITeQ: a machine learning framework for Alzheimer\u2019s prediction using a distinctive five-gene signature"],"prefix":"10.1093","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0473-7803","authenticated-orcid":false,"given":"Ishtiaque","family":"Ahammad","sequence":"first","affiliation":[{"name":"Bioinformatics Division, National Institute of Biotechnology , Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh"}]},{"given":"Anika Bushra","family":"Lamisa","sequence":"additional","affiliation":[{"name":"Bioinformatics Division, National Institute of Biotechnology , Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6019-3797","authenticated-orcid":false,"given":"Arittra","family":"Bhattacharjee","sequence":"additional","affiliation":[{"name":"Bioinformatics Division, National Institute of Biotechnology , Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh"}]},{"given":"Tabassum Binte","family":"Jamal","sequence":"additional","affiliation":[{"name":"Bioinformatics Division, National Institute of Biotechnology , Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh"}]},{"given":"Md Shamsul","family":"Arefin","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Microbiology, North South University , Bashundhara, Dhaka 1229, Bangladesh"}]},{"given":"Zeshan Mahmud","family":"Chowdhury","sequence":"additional","affiliation":[{"name":"Bioinformatics Division, National Institute of Biotechnology , Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9957-122X","authenticated-orcid":false,"given":"Mohammad Uzzal","family":"Hossain","sequence":"additional","affiliation":[{"name":"Bioinformatics Division, National Institute of Biotechnology , Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh"}]},{"given":"Keshob Chandra","family":"Das","sequence":"additional","affiliation":[{"name":"Molecular Biotechnology Division, National Institute of Biotechnology , Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh"}]},{"given":"Chaman Ara","family":"Keya","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Microbiology, North South University , Bashundhara, Dhaka 1229, Bangladesh"}]},{"given":"Md","family":"Salimullah","sequence":"additional","affiliation":[{"name":"Molecular Biotechnology Division, National Institute of Biotechnology , Ganakbari, Ashulia, Savar, Dhaka 1349, 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