Cargando…
Cancer classification based on chromatin accessibility profiles with deep adversarial learning model
Given the complexity and diversity of the cancer genomics profiles, it is challenging to identify distinct clusters from different cancer types. Numerous analyses have been conducted for this propose. Still, the methods they used always do not directly support the high-dimensional omics data across...
Autores principales: | Yang, Hai, Wei, Qiang, Li, Dongdong, Wang, Zhe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676699/ https://www.ncbi.nlm.nih.gov/pubmed/33166290 http://dx.doi.org/10.1371/journal.pcbi.1008405 |
Ejemplares similares
-
A Deep-Learning Approach to ECG Classification Based on Adversarial Domain Adaptation
por: Niu, Lisha, et al.
Publicado: (2020) -
Deep Domain Adversarial Learning for Species-Agnostic Classification of Histologic Subtypes of Osteosarcoma
por: Patkar, Sushant, et al.
Publicado: (2023) -
ELAA: An Ensemble-Learning-Based Adversarial Attack Targeting Image-Classification Model
por: Fu, Zhongwang, et al.
Publicado: (2023) -
Adversarial Patch Attacks on Deep-Learning-Based Face Recognition Systems Using Generative Adversarial Networks
por: Hwang, Ren-Hung, et al.
Publicado: (2023) -
Adversarial Attack and Defense in Breast Cancer Deep Learning Systems
por: Li, Yang, et al.
Publicado: (2023)