Depthwise Convolutions using Physicochemical Features of DNA for Transcription Factor Binding Site Classification : Physicochemical Features for DNA-Protein Classification with Depthwise Convolutions

Pap Gergely and Ádám Krisztián and Györgypál Zoltán and Tóth László and Hegedűs Zoltán: Depthwise Convolutions using Physicochemical Features of DNA for Transcription Factor Binding Site Classification : Physicochemical Features for DNA-Protein Classification with Depthwise Convolutions.
In: ICAAI '22: Proceedings of the 6th International Conference on Advances in Artificial Intelligence. ACM, New York, pp. 15-21. (2022) ISBN 9781450396943

[thumbnail of icaai2022-3-1.pdf] Text
icaai2022-3-1.pdf - Published Version
Closed access: Repository staff only

Download (1MB) | Request a copy
[thumbnail of 33563542_címlap_tartalom.pdf] Text
33563542_címlap_tartalom.pdf - Cover Image/Table of Contents

Download (3MB)
Item Type: Book Section
Date: 2022
Number of Pages: 7
Page Range: pp. 15-21
ISBN: 9781450396943
Publisher: ACM
Place of Publication: New York
Faculty/Unit: Faculty of Science and Informatics
Institution: Szegedi Tudományegyetem
Language: English
MTMT rekordazonosító: 33563542
DOI azonosító: https://doi.org/10.1145/3571560.3571563
Related URLs:
Date Deposited: 2023. Oct. 31. 08:32
Last Modified: 2023. Oct. 31. 08:32
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/28539

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year