Author: Mert
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An Extended de Bruijn Graph for Feature Engineering Over Biological Sequential Data
Mert Onur Cakiroglu, Hasan Kurban, Parichit Sharma, M Oguzhan Kulekci, Elham Khorasani Buxton, Maryam Raeeszadeh-Sarmazdeh, Mehmet M Dalkilic – Machine Learning: Science and Technology
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De Bruijn Graphs
Introduction De Bruijn graphs, named after Dutch mathematician Nicolaas Govert de Bruijn, are invaluable in both computer science and bioinformatics. These graphs efficiently represent overlaps between sequences of symbols, making them essential for sequence analysis applications. While their utility spans various fields, they are predominantly applied in bioinformatics today. We have even recently demonstrated that
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Our paper has been accepted to Machine Learning: Science and Technology
Our paper “An Extended de Bruijn Graph for Feature Engineering Over Biological Sequential Data” has been accepted to Machine Learning: Science and Technology (Impact Factor: 6.8).
Kurban Intelligence Lab 