Machine learning approach to gene essentiality prediction: a review
O Aromolaran, D Aromolaran, I Isewon… - Briefings in …, 2021 - academic.oup.com
Essential genes are critical for the growth and survival of any organism. The machine
learning approach complements the experimental methods to minimize the resources …
learning approach complements the experimental methods to minimize the resources …
Predicting essential genes and proteins based on machine learning and network topological features: a comprehensive review
Essential proteins/genes are indispensable to the survival or reproduction of an organism,
and the deletion of such essential proteins will result in lethality or infertility. The …
and the deletion of such essential proteins will result in lethality or infertility. The …
A deep learning framework for identifying essential proteins by integrating multiple types of biological information
Computational methods including centrality and machine learning-based methods have
been proposed to identify essential proteins for understanding the minimum requirements of …
been proposed to identify essential proteins for understanding the minimum requirements of …
A computational framework based on ensemble deep neural networks for essential genes identification
Essential genes contain key information of genomes that could be the key to a
comprehensive understanding of life and evolution. Because of their importance, studies of …
comprehensive understanding of life and evolution. Because of their importance, studies of …
DeepEP: a deep learning framework for identifying essential proteins
Background Essential proteins are crucial for cellular life and thus, identification of essential
proteins is an important topic and a challenging problem for researchers. Recently lots of …
proteins is an important topic and a challenging problem for researchers. Recently lots of …
Rechecking the centrality-lethality rule in the scope of protein subcellular localization interaction networks
Essential proteins are indispensable for living organisms to maintain life activities and play
important roles in the studies of pathology, synthetic biology, and drug design. Therefore …
important roles in the studies of pathology, synthetic biology, and drug design. Therefore …
Geptop 2.0: an updated, more precise, and faster Geptop server for identification of prokaryotic essential genes
QF Wen, S Liu, C Dong, HX Guo, YZ Gao… - Frontiers in …, 2019 - frontiersin.org
Geptop has performed effectively in the identification of prokaryotic essential genes since its
first release in 2013. It estimates gene essentiality for prokaryotes based on orthology and …
first release in 2013. It estimates gene essentiality for prokaryotes based on orthology and …
Network-based features enable prediction of essential genes across diverse organisms
Machine learning approaches to predict essential genes have gained a lot of traction in
recent years. These approaches predominantly make use of sequence and network-based …
recent years. These approaches predominantly make use of sequence and network-based …
Comprehensive review of the identification of essential genes using computational methods: focusing on feature implementation and assessment
C Dong, YT Jin, HL Hua, QF Wen, S Luo… - Briefings in …, 2020 - academic.oup.com
Essential genes have attracted increasing attention in recent years due to the important
functions of these genes in organisms. Among the methods used to identify the essential …
functions of these genes in organisms. Among the methods used to identify the essential …
Sequence-based information-theoretic features for gene essentiality prediction
Background Identification of essential genes is not only useful for our understanding of the
minimal gene set required for cellular life but also aids the identification of novel drug targets …
minimal gene set required for cellular life but also aids the identification of novel drug targets …