Project information

• Category: BioInformatics
• Project date: 20 April, 2021
• Project URL: Github Link

The project classifies the Chimp, Dog and Human on bases of input DNA Sequence function groups.

Firstly, it usses K-mer counting (A K-mer is a substring of length K (K > 0), and counting the occurrences of all such substrings is a central step in many analyses of DNA sequence data.) to convert Sequence then following substrings are passed through Multinomial Naive Bayes model to train on string data and final testing phase gives Accuracy of 98.4%