DeepCORE: An interpretable multi-view deep neural network model to detect co-operative regulatory elements

Autor: Pramod Bharadwaj Chandrashekar, Hai Chen, Matthew Lee, Navid Ahmadinejad, Li Liu

Publikováno v: Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 679-687 (2024)

Gene transcription is an essential process involved in all aspects of cellular functions with significant impact on biological traits and diseases. This process is tightly regulated by multiple elements that co-operate to jointly modulate the transcr

Externí odkaz: https://doaj.org/article/fa3cb169a650453292743aafd44436ce

DeepCORE: An interpretable multi-view deep neural network model to detect co-operative regulatory elements.

Autor: Chandrashekar PB; Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53076, USA., Chen H; College of Health Solutions, Arizona State University, Phoenix, AZ, United States.; Biodesign Institute, Arizona State University, Tempe, AZ, United States., Lee M; College of Health Solutions, Arizona State University, Phoenix, AZ, United States., Ahmadinejad N; College of Health Solutions, Arizona State University, Phoenix, AZ, United States.; Biodesign Institute, Arizona State University, Tempe, AZ, United States., Liu L; College of Health Solutions, Arizona State University, Phoenix, AZ, United States.; Biodesign Institute, Arizona State University, Tempe, AZ, United States.

Publikováno v: Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2023 Dec 29; Vol. 23, pp. 679-687. Date of Electronic Publication: 2023 Dec 29 (Print Publication: 2024).