Szczegóły publikacji
Opis bibliograficzny
Rapid prototyping of evolution-driven biclustering methods in Julia / Paweł Renc, Patryk ORZECHOWSKI, Aleksander BYRSKI, Jarosław WĄS, Jason H. Moore // W: GECCO'21 [Dokument elektroniczny] : Genetic and Evolutionary Computation Conference Companion : July 10-14, 2021, Lille, France : proceedings. — Wersja do Windows. — Dane tekstowe. — USA : Association for Computing Machinery, cop. 2021. — e-ISBN: 987-1-4503-8351-6. — S. 61–62. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://dl.acm.org/doi/pdf/10.1145/3449726.3462739 [2021-07-22]. — Bibliogr. s. 62, Abstr. — P. Orzechowski - dod. afiliacja: University of Pennsylvania, Philadelphia, USA
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 135354 |
|---|---|
| Data dodania do BaDAP | 2021-07-27 |
| DOI | 10.1145/3449726.3462739 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Association for Computing Machinery (ACM) |
| Konferencja | Genetic and Evolutionary Computations 2021 |
Abstract
Biclustering is a technique of detecting meaningful patterns in tabular data. It is also one of the fields in which evolutionary algorithms have risen to the very top in terms of speed and accuracy. In this short paper we summarize the results of porting one of the leading evolutionary-based biclustering methods EBIC to Julia - an emerging high-end programming language. This is probably the first biclustering package developed in this programming language. The main findings of this study are that flexibility combined with high performance make Julia an appealing platform for development and validation of new biclustering methods.
