Functional Site Discovery From Incomplete Training Data: A Case Study With Nucleic Acid–Binding Proteins

Functional Site Discovery From Incomplete Training Data: A Case Study With Nucleic Acid–Binding Proteins

Function annotation efforts provide a foundation to our understanding of cellular processes and the functioning of the living cell. This motivates high-throughput computational methods to characterize new protein members of a particular function. Research work has focused on discriminative machine-l...

Full description

Bibliographic Details
Main Authors: Wenchuan Wang, Robert Langlois, Marina Langlois, Georgi Z. Genchev, Xiaolei Wang, Hui Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Genetics
Subjects:
machine learning
protein sequence and structural analysis
multiple-instance learning
decision trees
semi supervised learning
protein function annotation
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00729/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00729/full

Similar Items