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Original Research

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

Amin Khodaei ORCID, Mohammad-Reza Feizi-Derakhshi* ORCID, Behzad Mozaffari-Tazehkand ORCID
BioImpacts. 2021;11(2): 87-99. doi: 10.34172/bi.2021.16
PMCID: PMC8022238     PMID: 33842279     Scopus ID: 85106634912    
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In this research, cancer data are analyzed in the form of DNA in terms of nucleotide sequences. A hybrid machine learning and statistical approach was used for classification of genomic sequences.
Original Research

2. Classification of seed members of five riboswitch families as short sequences based on the features extracted by Block Location-Based Feature Extraction (BLBFE) method
Faegheh Golabi ORCID, Elnaz Mehdizadeh Aghdam ORCID, Mousa Shamsi* ORCID, Mohammad Hossein Sedaaghi ORCID, Abolfazl Barzegar ORCID, Mohammad Saeid Hejazi* ORCID
BioImpacts. 2021;11(2): 101-109. doi: 10.34172/bi.2021.17
PMCID: PMC8022236     PMID: 33842280     Scopus ID: 85106631206    
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Block Location-Based Feature Extraction strategy (BLBFE) method was recently introduced as an alignment-free algorithm to classify riboswitches. Employing BLBFE method accompanied by KNN or decision tree classifiers results in better performance in the classification of riboswitches.
Original Article

3. Automatic classification of Giardia infection from stool microscopic images using deep neural networks
Pezhman Yarahmadi ORCID, Ehsan Ahmadpour ORCID, Parham Moradi ORCID, Nasser Samadzadehaghdam* ORCID
Bioimpacts. 2025;15: 30272 | Published on: 2024 Sep 24. doi: 10.34172/bi.30272
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Original Article Special issue | AI & Bioinformatics

4. A new method for early diagnosis and treatment of meniscus injury of knee joint in student physical fitness tests based on deep learning method
Yan Fang ORCID, Lu Liu* ORCID, Qingyu Yang, Shuang Hao, Zhihai Luo
Bioimpacts. 2025;15: 30419 | Published on: 2024 Sep 08. doi: 10.34172/bi.30419
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As a peer-reviewed international open-access journal, BioImpacts publishes articles on basic and translational aspects of pharmaceutical and biomedical sciences. 
Acceptance rate (2024): 20% 
Publication fee: Free of charge

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