Identification of genes associated with altered gene expression and m6A profiles during hypoxia using tensor decomposition based unsupervised feature extraction
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Title
Identification of genes associated with altered gene expression and m6A profiles during hypoxia using tensor decomposition based unsupervised feature extraction
Authors
Keywords
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Journal
Scientific Reports
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-04-26
DOI
10.1038/s41598-021-87779-7
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Note: Only part of the references are listed.- Application of Tensor Decomposition to Gene Expression of Infection of Mouse Hepatitis Virus Can Identify Critical Human Genes and Efffective Drugs for SARS-CoV-2 Infection
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- Tensor decomposition of stimulated monocyte and macrophage gene expression profiles identifies neurodegenerative disease-specific trans-eQTLs
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- Three-way clustering of multi-tissue multi-individual gene expression data using semi-nonnegative tensor decomposition
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- Hypoxia-induced inhibition of the endocannabinoid system in glioblastoma cells
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- N 6 -methyladenosine is required for the hypoxic stabilization of specific mRNAs
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- Tensor factorization toward precision medicine
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- Tensor decomposition for multiple-tissue gene expression experiments
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- Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
- (2016) Maxim V. Kuleshov et al. NUCLEIC ACIDS RESEARCH
- limma powers differential expression analyses for RNA-sequencing and microarray studies
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- Hypoxia, vascular smooth muscles and endothelium
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- Hypoxia and mitochondrial oxidative metabolism
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