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Updated: Sep 9, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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GCNMF-SDA:グラフコンヴォルションと非負の行列因数分解に基づいてスノRNA疾患関連を予測する

Yaowu Zhang1,2, Xiu Jin1,2, Xiaodan Zhang1,2

  • 1College of Information and Artificial Intelligence, Anhui Agricultural University, 130, Changjiang West Road, Hefei, Anhui Province 230036, China.

Briefings in bioinformatics
|September 4, 2025
PubMed
まとめ

私たちはGCNMF-SDAを開発し,小核核RNA (snoRNA) -疾患関連性を予測する計算方法を開発しました. このアプローチは,潜在的なリンクを効率的に特定し,病気のメカニズムを理解し,実験コストを削減します.

キーワード:
GCN についてWKNKN負でない行列の因数分解類似ネットワークの融合スノRNA疾患との関連

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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