Analysis of human disease genes in the context of gene essentiality
Author:
Publisher
Elsevier BV
Subject
Genetics
Reference23 articles.
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3. Protein dispensability and rate of evolution;Hirsh;Nature,2001
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1. Essentiality, protein–protein interactions and evolutionary properties are key predictors for identifying cancer-associated genes using machine learning;Scientific Reports;2024-04-22
2. Essentiality, Protein-Protein Interactions and Evolutionary Properties are Key Predictors for Identifying Cancer-Associated Genes Using Machine Learning;2023-05-02
3. Multiple intermolecular interactions facilitate rapid evolution of essential genes;Nature Ecology & Evolution;2023-03-30
4. Novel Data Science Methodologies for Essential Genes Identification Based on Network Analysis;Studies in Computational Intelligence;2023
5. Essentiality, Protein-Protein Interactions and Evolutionary Properties are Key Predictors for Identifying Cancer Genes Using Machine Learning;2021-09-02
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