New feature extraction from phylogenetic profiles improved the performance of pathogen-host interactions.

ABSTRACT:

Motivation

The understanding of pathogen-host interactions (PHIs) is essential and challenging research because this potentially provides the mechanism of molecular interactions between different organisms. The experimental exploration of PHI is time-consuming and labor-intensive, and computational approaches are playing a crucial role in discovering new unknown PHIs between different organisms. Although it has been proposed that most machine learning (ML)-based methods predict PHI, these methods are all based on the structure-based information extracted from the sequence for prediction. The selection of feature values is critical to improving the performance of predicting PHI using ML.

Results

This work proposed a new method to extract features from phylogenetic profiles as

SUBMITTER: Fang Y 

PROVIDER: S-EPMC9378789 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature