A Markov chain-based feature extraction method for classification and identification of cancerous DNA sequences

Amin Khodaei ¹ , Mohammad-Reza Feizi-Derakhshi ¹ * , Behzad Mozaffari-Tazehkand ¹

Cited by CrossRef: 5

1- Kamala Kumari P, Seventline J. A Robust Feature Extraction and Deep Learning Approach for Cancer Gene Prognosis. 2022;16:126 [Crossref]

2- Khodaei A, Mozaffari-Tazehkand B, Sharifi H. A genomic signal processing approach for identification and classification of coronavirus sequences. Soft Comput. 2024; [Crossref]

3- Qin C, Hu W, Wang X, Ma X. Application of Artificial Intelligence in Diagnosis of Craniopharyngioma. Front Neurol. 2022;12 [Crossref]

4- Kalal V, Jha B. A Kernelized Classification Approach for Cancer Recognition Using Markovian Analysis of DNA Structure Patterns as Feature Mining. Cell Biochem Biophys. 2024;82(3):2249 [Crossref]

5- Kalal V, Jha B. Cancer detection with various classification models: A comprehensive feature analysis using HMM to extract a nucleotide pattern. Computational Biology and Chemistry. 2024;113:108215 [Crossref]

6- Khodaei A, Shams P, Sharifi H, Mozaffari-Tazehkand B. Identification and classification of coronavirus genomic signals based on linear predictive coding and machine learning methods. Biomedical Signal Processing and Control. 2023;80:104192 [Crossref]

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