Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology
Protein-protein interactions (PPIs) play a crucial role in cellular processes. In the present work, a new approach is proposed to construct a PPI predictor training a support vector machine model through a mutual information filter-wrapper parallel feature selection algorithm and an iterative and hi...
Saved in:
Main Authors: | J. M. Urquiza, I. Rojas, H. Pomares, J. Herrera, J. P. Florido, O. Valenzuela |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2012/897289 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Non-hierarchic document clustering
by: Gareth Jones, et al.
Published: (1995-01-01) -
Self-Assembled Peptide Hydrogels PPI45 and PPI47: Novel Drug Candidates for <i>Staphylococcus aureus</i> Infection Treatment
by: Quanlong Wu, et al.
Published: (2025-01-01) -
Hierarchical Factor Analysis Methodology for Intelligent Manufacturing
by: Hyun Sik Sim
Published: (2021-01-01) -
Hierarchical Spatial Clustering in Multihop Wireless Sensor Networks
by: Zhidan Liu, et al.
Published: (2013-11-01) -
Survey on Low Energy Adaptive Clustering Hierarchical Protocol
by: Khatereh Bagherzadeh Asl, et al.
Published: (2022-09-01)