Synthetic lethal interaction prediction method based on heterogeneous graph convolutional neural network
A convolutional neural network and synthetic lethal technology, applied in the field of data mining in bioinformatics, can solve problems such as ignoring neighbors' genetic information
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0043] The invention relates to the field of data mining in bioinformatics, in particular to a synthetic lethal interaction prediction method based on a heterogeneous graph convolutional neural network. Specific embodiments of the present invention are described below. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the scope of evidence collection of the present invention.
[0044] Step 1: Download the experimentally verified synthetic lethal correlation data from the SynLethDB database, and process the data to screen out all SL-related genes. Download gene GO data from GeneOntology database, and extract the GO data of all related genes with SL association. Download the PPI data from the String database. Since the PPI data has only the gene ID and no gene name, in order to perform PPI feature analysis, it is also necessary to download the control data o...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com