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pro vyhledávání: '"Pavel, P Kuksa"'
Publikováno v:
Bioinformatics. 31:3600-3607
Motivation: Effective computational methods for peptide-protein binding prediction can greatly help clinical peptide vaccine search and design. However, previous computational methods fail to capture key nonlinear high-order dependencies between diff
Autor:
Pavel P. Kuksa
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 10(5)
String kernel-based machine learning methods have yielded great success in practical tasks of structured/sequential data analysis. They often exhibit state-of-the-art performance on many practical tasks of sequence analysis such as biological sequenc
Autor:
Pavel P. Kuksa
Publikováno v:
BIOKDD
String kernel-based machine learning methods have yielded great success in practical tasks of structured/sequential data analysis. They often exhibit state-of-the-art performance on tasks such as document topic elucidation, biological sequence classi
Autor:
Vladimir Pavlovic, Pavel P. Kuksa
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540741251
WABI
WABI
In this work we study string kernel methods for sequence analysis and focus on the problem of species-level identification based on short DNA fragments known as barcodes. We introduce efficient sorting-based algorithms for exact string k-mer kernels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0add555e38c6760d830c6617c9a7b002
https://doi.org/10.1007/978-3-540-74126-8_22
https://doi.org/10.1007/978-3-540-74126-8_22