Results 151 to 160 of about 1,888,648 (281)
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
Global understanding via local extraction for data clustering and visualization. [PDF]
Zhang Z, Li B.
europepmc +1 more source
Clustering Deviation Index (CDI): a robust and accurate internal measure for evaluating scRNA-seq data clustering. [PDF]
Fang J +6 more
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
Enhanced aquila optimizer for global optimization and data clustering. [PDF]
Abualigah L +8 more
europepmc +1 more source
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
scRECL: representative ensembles with contrastive learning for scRNA-seq data clustering analysis. [PDF]
Huang Y, Jiang H, Ching WK, Shen D.
europepmc +1 more source
Massive data clustering by multi-scale psychological observations. [PDF]
Yang S +5 more
europepmc +1 more source
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Extracting preference relations from data: Clustering with transitive centroids. [PDF]
de Chiusole D +2 more
europepmc +1 more source

