Using multi-instance hierarchical clustering learning system to predict yeast gene function.
Time-course gene expression datasets, which record continuous biological processes of genes, have recently been used to predict gene function. However, only few positive genes can be obtained from annotation databases, such as gene ontology (GO). To obtain more useful information and effectively pre...
Main Authors: | Bo Liao, Yun Li, Yan Jiang, Lijun Cai |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3951281?pdf=render |
Similar Items
-
Feature extraction with spectral clustering for gene function prediction using hierarchical multi-label classification
by: Miguel Romero, et al.
Published: (2022-05-01) -
Key instance detection in multi-instance learning
by: Liu, Guoqing, et al.
Published: (2014) -
Multi-scale deep learning and clustering-based tabletop object instance segmentation for robot manipulation
by: Zhihong Jiang, et al.
Published: (2024-09-01) -
Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing
by: Yahaya, Bakri
Published: (2016) -
Hierarchical Instance Mixing Across Domains in Aerial Segmentation
by: Edoardo Arnaudo, et al.
Published: (2023-01-01)