Geometric de-noising of protein-protein interaction networks
O Kuchaiev, M Rašajski, DJ Higham… - PLoS computational …, 2009 - journals.plos.org
Understanding complex networks of protein-protein interactions (PPIs) is one of the foremost
challenges of the post-genomic era. Due to the recent advances in experimental bio …
challenges of the post-genomic era. Due to the recent advances in experimental bio …
Predicting protein-protein interactions based on BP neural network
Z Ma, C Zhou, L Lu, Y Ma, P Sun… - 2007 IEEE International …, 2007 - ieeexplore.ieee.org
In this paper, we present a method which only employs protein primary structure to predict
protein-protein interactions. The statistical method is used to generate sequence features …
protein-protein interactions. The statistical method is used to generate sequence features …
Predicting types of protein-protein interactions using a multiple-instance learning model
H Yamakawa, K Maruhashi, Y Nakao - … of the Japanese Society for Artificial …, 2006 - Springer
We propose a method for predicting types of protein-protein interactions using a multiple-
instance learning (MIL) model. Given an interaction type to be predicted, the MIL model was …
instance learning (MIL) model. Given an interaction type to be predicted, the MIL model was …
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past
few years, an explosion in availability of functional biological data obtained from high …
few years, an explosion in availability of functional biological data obtained from high …
Comparative analysis of classification methods for protein interaction verification system
MS Lee, SS Park - International Conference on Advances in Information …, 2006 - Springer
A comparative study for assessing the reliability of protein-protein interactions in a high-
throughput dataset is presented. We use various state-of-the-art classification algorithms to …
throughput dataset is presented. We use various state-of-the-art classification algorithms to …
FIS-PNN: A hybrid computational method for protein-protein interaction prediction
The study of protein-protein interactions (PPI) is an active area of research in biology as it
mediates most of the biological functions in any organism. Although, there are no concrete …
mediates most of the biological functions in any organism. Although, there are no concrete …
Predicting functional protein-protein interactions based on computational methods
L Zhang, W Zhang - International Conference on Life System Modeling …, 2007 - Springer
Protein-protein interactions play a crucial role in the cellular process. In recent years, yet
new experimental techniques have been developed to discover the protein-protein …
new experimental techniques have been developed to discover the protein-protein …
[PDF][PDF] A hybrid approach of fuzzy logic and machine learning technique for the prediction of parkinson disease
A Poongodai - 2017 - dspace.pondiuni.edu.in
1.1 Background With its advancement in today's era from recent past, Artificial Intelligence
(AI) has become important and key technology across many industries namely robotic …
(AI) has become important and key technology across many industries namely robotic …
[PDF][PDF] FIS-PNN: A HYBRID COMPUTATIONAL METHOD FOR PROTEIN-PROTEIN INTERACTIONS PREDICTION USING THE SECONDARY STRUCTURE …
MMS Sekunder, SABU BAKAR, J TAHERI… - ukm.my
The study of protein-protein interactions (PPI) is an active area of research in biology
because it mediates most of the biological functions in any organism. This work is inspired …
because it mediates most of the biological functions in any organism. This work is inspired …