Results 231 to 240 of about 1,516,973 (367)
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Consistency in phonetic categorization predicts successful speech-in-noise perception. [PDF]
Rizzi R, Bidelman GM.
europepmc +1 more source
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Prognostic Significance of Intraindividual CT and MRI LI-RADS Agreement and Discordance in Hepatocellular Carcinoma. [PDF]
Jung YJ +6 more
europepmc +1 more source
Support vector machines for spam categorization
H. Drucker, Donghui Wu, V. Vapnik
semanticscholar +1 more source
Products 'categorization and suppliers' mix analysis
Evanielle Barbosa Ferreira +3 more
openalex +2 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Multilevel predictors categorization for post-CABG atrial fibrillation prediction. [PDF]
Shakhgeldyan KI +4 more
europepmc +1 more source

