ArticleFrontiers in genetics2018
Defining Essentiality Score of Protein-Coding Genes and Long Noncoding RNAs.
Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- ELE: Estimating tissue-specific long noncoding RNA gene essentiality using graph neural networks.Quantitative biology (Beijing, China) · 2026Article
- RIMKLA promotes hypertension by activating PKM2 to trigger VSMC phenotype switch.Military Medical Research · 2026Article
- POCALI: Prediction and Insight on CAncer LncRNAs by Integrating Multi-Omics Data with Machine Learning.Small methods · 2025Article
- Ribosomal modification protein rimK-like family member A activates betaine-homocysteine S-methyltransferase 1 to ameliorate hepatic steatosis.Signal transduction and targeted therapy · 2024Article
- Long Noncoding RNAs in the Pathogenesis of Insulin Resistance.International journal of molecular sciences · 2022Review
- Importance score of SARS-CoV-2 genome predicts the death risk of COVID-19.Cell death discovery · 2022Article
- Article
- XGEM: Predicting Essential miRNAs by the Ensembles of Various Sequence-Based Classifiers With XGBoost Algorithm.Frontiers in genetics · 2022Article
- dbEssLnc: A manually curated database of human and mouse essential lncRNA genes.Computational and structural biotechnology journal · 2022Article
- SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network.Frontiers in genetics · 2022Article
- Pig-specific RNA editing during early embryo development revealed by genome-wide comparisons.FEBS open bio · 2020Article
- A New Metric Quantifying Chemical and Biological Property of Small Molecule Metabolites and Drugs.Frontiers in molecular biosciences · 2020Article
- Identification and Functional Analysis of Long Non-coding RNAs in Autism Spectrum Disorders.Frontiers in genetics · 2020Article
- Review
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Authors and funding
6 authors.
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Abstract
Measuring the essentiality of genes is critically important in biology and medicine. Here we proposed a computational method, GIC (Gene Importance Calculator), which can efficiently predict the essentiality of both protein-coding genes and long noncoding RNAs (lncRNAs) based on only sequence information. For identifying the essentiality of protein-coding genes, GIC outperformed well-established computational scores. In an independent mouse lncRNA dataset, GIC also achieved an exciting performance (AUC = 0.918). In contrast, the traditional computational methods are not applicable to lncRNAs. Moreover, we explored several potential applications of GIC score. Firstly, we revealed a correlation between gene GIC score and research hotspots of genes. Moreover, GIC score can be used to evaluate whether a gene in mouse is representative for its homolog in human by dissecting its cross-species difference. This is critical for basic medicine because many basic medical studies are performed in animal models. Finally, we showed that GIC score can be used to identify candidate genes from a transcriptomics study. GIC is freely available at http://www.cuilab.cn/gic/.
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