Tag: de Bruijn Graphs
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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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Novel De Bruijn Graph Embeddings for Enhanced Time Series Forecasting
Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet Dalkilic – Machine Learning (under-review)
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A Reinforcement Learning Approach to Effective Forecasting of Pediatric Hypoglycemia in Diabetes I Patients: an extended de Bruijn Graph
Mert Onur Cakiroglu, Hasan Kurban, Khalid Qaraqe, Lilia Aljihmani, Goran Petrovski, Mehmet Dalkilic – Scientific Reports (under-review)
Kurban Intelligence Lab 