Logo-bi
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    
Article
PDF
Full Text
XML
Cited By:
3
2
3
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    
Article
PDF
Full Text
XML
Cited By:
0
0
0
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.

As a peer-reviewed international open-access journal, BioImpacts publishes articles on basic and translational aspects of pharmaceutical and biomedical sciences. 
Acceptance rate: 24% 
Publication fee: Free of charge