A novel feature extraction technique for the clustering of SNP data

A novel feature extraction technique for the clustering of SNP data


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Authors

  • RAJESH DWIVEDI Department of Computer Science, IIT, Indore, Indore
  • ARUNA TIWARI Department of Computer Science, IIT, Indore, Indore
  • NEHA BHARILL Department of Computer Science, IIT, Indore, Indore
  • MILIND RATNAPARKHE Department of Computer Science, IIT, Indore, Indore

https://doi.org/10.56739/jor.v40iSpecialissue.145589

Keywords:

Clustering, Feature extraction, SNP sequences, Soybean

Abstract

In this work, we proposed a novel feature extraction technique for the Single NucleotidePolymorphism (SNP) data, which converts an SNP sequence into the numerical form. Later, we performed the clustering analysis on the feature vectors to group similar SNP sequences in one group.

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References

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Submitted

2023-11-23

Published

2023-12-14

How to Cite

RAJESH DWIVEDI, ARUNA TIWARI, NEHA BHARILL, & MILIND RATNAPARKHE. (2023). A novel feature extraction technique for the clustering of SNP data: A novel feature extraction technique for the clustering of SNP data. Journal of Oilseeds Research, 40(Specialissue). https://doi.org/10.56739/jor.v40iSpecialissue.145589