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 …
Bacterial genome reductions: Tools, applications, and challenges
N LeBlanc, TC Charles - Frontiers in Genome Editing, 2022 - frontiersin.org
Bacterial cells are widely used to produce value-added products due to their versatility, ease
of manipulation, and the abundance of genome engineering tools. However, the efficiency of …
of manipulation, and the abundance of genome engineering tools. However, the efficiency of …
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 comprehensive overview of online resources to identify and predict bacterial essential genes
Genes critical for the survival or reproduction of an organism in certain circumstances are
classified as essential genes. Essential genes play a significant role in deciphering the …
classified as essential genes. Essential genes play a significant role in deciphering the …
Accurate prediction of human essential genes using only nucleotide composition and association information
Motivation Previously constructed classifiers in predicting eukaryotic essential genes
integrated a variety of features including experimental ones. If we can obtain satisfactory …
integrated a variety of features including experimental ones. If we can obtain satisfactory …
An integrated network topology and deep learning model for prediction of Alzheimer disease candidate genes
NS Gnanadesigan, N Dhanasegar, MD Ramasamy… - Soft Computing, 2023 - Springer
Alzheimer's disease (AD) is a neurological illness that causes short-term memory loss.
There are currently no viable therapeutic therapies for this condition that can cure it. The …
There are currently no viable therapeutic therapies for this condition that can cure it. The …
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 …
An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features
Prediction of essential genes helps to identify a minimal set of genes that are absolutely
required for the appropriate functioning and survival of a cell. The available machine …
required for the appropriate functioning and survival of a cell. The available machine …