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
Intelligent cybersecurity management in industrial IoT system using attribute reduction with collaborative deep learning enabled false data injection attack detection approach. [PDF]
Alrashdi I, Duraibi S.
europepmc +1 more source
An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets. [PDF]
Sun L, Zhang X, Xu J, Zhang S.
europepmc +1 more source
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction. [PDF]
Yu P +6 more
europepmc +1 more source
A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures. [PDF]
Sun L, Wang L, Xu J, Zhang S.
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
Unsupervised attribute reduction based on variable precision weighted neighborhood dependency. [PDF]
Li Y, Zhang B, Mo H, Hu J, Liu Y, Tan X.
europepmc +1 more source
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
Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications. [PDF]
Alkhalifa AK +7 more
europepmc +1 more source

