MultiSec: Multi-Task Deep Learning Improves Secreted Protein Discovery in Human Body Fluids
Prediction of secreted proteins in human body fluids is essential since secreted proteins hold promise as disease biomarkers. Various approaches have been proposed to predict whether a protein is secreted into a specific fluid by its sequence. However, there may be relationships between different hu...
Main Authors: | Kai He, Yan Wang, Xuping Xie, Dan Shao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/15/2562 |
Similar Items
-
A multi-task positive-unlabeled learning framework to predict secreted proteins in human body fluids
by: Kai He, et al.
Published: (2023-09-01) -
MultiSec: A Multi-Protocol Security Forwarding Mechanism Based on Programmable Data Plane
by: Zeying Liu, et al.
Published: (2022-07-01) -
Dynamic role discovery and assignment in multi-agent task decomposition
by: Yu Xia, et al.
Published: (2023-04-01) -
Kinome-Wide Virtual Screening by Multi-Task Deep Learning
by: Jiaming Hu, et al.
Published: (2024-02-01) -
DenSec: Secreted Protein Prediction in Cerebrospinal Fluid Based on DenseNet and Transformer
by: Lan Huang, et al.
Published: (2022-07-01)