Results 151 to 160 of about 4,208,641 (395)
Symbolic principal plane with Duality Centers Method [PDF]
In \cite{ref11} and \cite{ref3}, the authors proposed the Centers and the Vertices Methods to extend the well known principal components analysis method to a particular kind of symbolic objects characterized by multi--valued variables of interval type. Nevertheless the authors use the classical circle of correlation to represent the variables.
arxiv
This study demonstrates that KRAS and GNAS mutations are more prevalent in patients with resected intraductal papillary mucinous neoplasms (IPMN) compared to those under clinical surveillance. GNAS mutations significantly differ between the two patient cohorts, indicating that their absence may serve as a potential biomarker to support conservative ...
Christine Nitschke+12 more
wiley +1 more source
On optimal allocation of treatment/condition variance in principal component analysis [PDF]
The allocation of a (treatment) condition-effect on the wrong principal component (misallocation of variance) in principal component analysis (PCA) has been addressed in research on event-related potentials of the electroencephalogram. However, the correct allocation of condition-effects on PCA components might be relevant in several domains of ...
arxiv
We propose an efficient strategy to suppress ALK inhibitor (ALKi) resistance. By analyzing transcriptome data, we identified emetine as a potential inhibitor. We demonstrated that emetine exhibited effectiveness in inhibiting the growth of ALKi‐resistant cells, and further interpreted its impact on the resistant signatures through drug‐induced RNA ...
Sang‐Min Park+8 more
wiley +1 more source
The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu+3 more
wiley +1 more source
MiR‐99a‐5p/miR‐100‐5p (functionally identical) and miR‐125b‐5p microRNAs are downregulated in malignant germ cell tumors (GCTs). Combination replenishment of these microRNAs using mimics resulted in growth inhibition in representative cell lines, with consequent downregulation of target genes involved in cell cycle (confirmed by flow cytometry) and ...
Marta Ferraresso+12 more
wiley +1 more source
Generalized Principal Component Analysis [PDF]
Generalized principal component analysis (GLM-PCA) facilitates dimension reduction of non-normally distributed data. We provide a detailed derivation of GLM-PCA with a focus on optimization. We also demonstrate how to incorporate covariates, and suggest post-processing transformations to improve interpretability of latent factors.
arxiv
Principal components analysis of the distribution of physicians, dentists and osteopaths in a Midwestern state. [PDF]
Carter L. Marshall+3 more
openalex +1 more source
Robust sparse principal component analysis. [PDF]
A method for principal component analysis is proposed that is sparse and robust at the same time. The sparsity delivers principal components that have loadings on a small number of variables, making them easier to interpret.
Croux, Christophe+2 more
core
PIK3CA amplification and PIK3CA mutation enhance ovarian tumorigenicity through an activation of AKT, which phosphorylates YAP at Ser127. This Ser127 phosphorylation leads to the retention of YAP in the cytoplasm and triggers RAC1 activity, promoting cell migration. Additionally, AKT activation increases expression of N‐cadherin, which further enhances
Shibo Zhang+6 more
wiley +1 more source