Functional and embedding feature analysis for pan-cancer classification

HIGHLIGHTS

• who: Jian Lu and colleagues from the Harbin Medical University, China have published the Article: Functional and embedding feature analysis for pan-cancer classification, in the Journal: (JOURNAL)
• what: The authors applied machine_learning algorithms to investigate a large mutation data, which involved eleven cancer types.
• how: In the previous study the authors developed a bioinformatics pipeline based on machine_learning algorithms to identify the tissue of origin in five tumors according to the enrichment of gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) using the mutated genes the approach was . . .
  

   

  

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