Results 171 to 180 of about 2,337,506 (337)
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker +16 more
wiley +1 more source
Resultant equations for training load monitoring during a standard microcycle in sub-elite youth football: a principal components approach. [PDF]
Teixeira JE +7 more
europepmc +1 more source
Regularized Tensor Factorizations and Higher-Order Principal Components Analysis [PDF]
Genevera I. Allen
openalex +1 more source
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
Author Correction: mbDenoise: microbiome data denoising using zero-inflated probabilistic principal components analysis. [PDF]
Zeng Y, Li J, Wei C, Zhao H, Wang T.
europepmc +1 more source
Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction [PDF]
Yugo Murawaki
openalex +1 more source
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande +11 more
wiley +1 more source
ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data. [PDF]
Yang J, Xu Y, Yao M, Wang G, Liu Z.
europepmc +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source

