Differentiating between liver diseases by applying multiclass machine learning approaches to transcriptomics of liver tissue or blood-based samples
AC, alcohol-associated cirrhosis, AH, alcohol-associated hepatitis, AKR1B10, aldo-keto reductase family 1 member B10, BTM, blood transcription module, Classification, DE, differential expression, FPKM, fragments per kilobase of exon model per million reads mapped, GSEA, gene set-enrichment analysis, IG, information gain, IPA, Ingenuity Pathway Analysis, LR, logistic regression, LTCDS, liver tissue cell distribution system, LV, liver tissue, ML, machine learning, MMP, matrix metalloproteases, NAFLD, non-alcohol-associated fatty liver disease, PBMCs, peripheral blood mononuclear cells, RNA sequencing, RNA-seq, RNA sequencing, SCAHC, Southern California Alcoholic Hepatitis Consortium, SVM, support vector machine, TNF, tumor necrosis factor, alcohol-associated liver disease, biomarker discovery, kNN, k-nearest neighbors,
Related Posts
Karpouzas GA, Ormseth SR, Van Riel P, Myasoedova E, Gonzalez-Gay MA, Corrales A, Rantapaa-Dahlqvist S, Sfikakis P, Dessein P, Hitchon CA, Pascual-Ramos V, Yanez IC,[...]
Cumpian NA, Atla PR, Alao H, Eysselein V, Reicher S. Bouveret syndrome in 2 parts: endoscopic removal of residual cholelithiasis with closure of cholecystoduodenal fistula[...]
de la Rosa AL, Mehta A, Hansen S, McClelland RL, Aldana-Bitar J, Kinninger A, Manubolu VS, Bertoni AG, Budoff MJ. Cardiac computed tomography imaging biomarkers[...]