Case study - apply a deep-learning algorithm to exomes detection with online resources
<p>Exosomes are membrane vesicles that constitute a potential mode of intercellular communication. Although the scope of its role is still being discussed, the release of exosomes by tumor cells suggests their participation in pathological situations and its study will surely drive to new ther...
Saved in:
Main Authors: | Maria da Conceição Proença (Author), António Pedro Alves de Matos (Author) |
---|---|
Format: | Book |
Published: |
Annals of Antivirals and Antiretrovirals - Peertechz Publications,
2021-12-24.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Diagnostic performance of deep learning algorithms applied to three common diagnoses in dermatopathology
by: Thomas George Olsen, et al.
Published: (2018) -
Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study
by: Kwon, Soonil, et al.
Published: (2019) -
Deep learning-based 2D keypoint detection in alpine ski racing - A performance analysis of state-of-the-art algorithms applied to regular skiing and injury situations
by: Michael Zwölfer, et al.
Published: (2023) -
Method of histopathological diagnosis of mammary nodules through deep learning algorithm
by: Victor Antônio Kuiava, et al.
Published: (2020) -
Various Deep Learning Algorithms in Computational Intelligence
Published: (2023)