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  Evaluation of distributed DNA representations on the classification of conserved non-coding elements

Gialitsis, N., Giannakopoulos, G., & Athanasouli, M. (2020). Evaluation of distributed DNA representations on the classification of conserved non-coding elements. In C. Spyropoulos, I. Varlamis, I. Androutsopoulos, & P. Malakasiotis (Eds.), SETN 2020: 11th Hellenic Conference on Artificial Intelligence (pp. 41-47). NewYork, NY, USA: Association for Computing Machinery.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-000D-68D3-0 Versions-Permalink: https://hdl.handle.net/21.11116/0000-000D-68D4-F
Genre: Konferenzbeitrag

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 Urheber:
Gialitsis, N, Autor
Giannakopoulos, G, Autor
Athanasouli, M1, Autor                 
Affiliations:
1Department Integrative Evolutionary Biology, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375786              

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Schlagwörter: -
 Zusammenfassung: The representation of DNA sequences has been an interesting topic of discussion for many years. Presently, given the usefulness of representations built upon embeddings for Natural Language Processing (NLP), there have been efforts to transfer such paradigms to the DNA world and related problems. In this paper, we study different DNA representations on the well-studied problem of Conserved Non-coding Elements (CNEs), trying to understand how well existing representations utilize the value of context, both in terms of local, near context, but also of long-distance interactions in genomic sequences. To this end, we apply a number of methods, including probabilistic models (LDA) and hybrid probabilistic-neural models (lda2vec) on appropriate datasets, compare the results to pre-existing methods and discuss the findings to better understand the value and challenges of different representations in the given domain.

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 Datum: 2020-09
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1145/3411408.3411463
 Art des Abschluß: -

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Titel: 11th Hellenic Conference on Artificial Intelligence (SETN 2020)
Veranstaltungsort: Athens, Greece
Start-/Enddatum: 2020-09-02 - 2020-09-04

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Titel: SETN 2020: 11th Hellenic Conference on Artificial Intelligence
Genre der Quelle: Konferenzband
 Urheber:
Spyropoulos, C, Herausgeber
Varlamis, I, Herausgeber
Androutsopoulos, I, Herausgeber
Malakasiotis, P, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: NewYork, NY, USA : Association for Computing Machinery
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 41 - 47 Identifikator: ISBN: 978-1-4503-8878-8