Spatial biology in cancer epigenetics
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
Comprehensive dataset of global innovation index panel data (2013-2022): Clustering with K-means and principal component analysis. [PDF]
Eufrazio E, Costa H.
europepmc +1 more source
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Assessing nursing students' palliative care training needs and profiles: a cross-sectional study using K-means clustering. [PDF]
Yang L +6 more
europepmc +1 more source
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Optimization of hybrid solar chimney power plant using Pearson and k-means analysis for green hydrogen and electricity production. [PDF]
Jemal A +7 more
europepmc +1 more source
A novel approach for the segmentation of retinal images by integration K-means clustering algorithm with graph cut for image segmentation. [PDF]
Bhoopalan R, Priyadharshini S.
europepmc +1 more source
Location optimization of cold chain logistics parks based on Bayesian probability theory and K-means clustering analysis in China. [PDF]
Wang L, Liu X, Wang X, Jiang Y.
europepmc +1 more source
Hyperspectral imaging and K-means clustering for material structure classification and detection of unmanned aerial vehicles. [PDF]
Saber A, Mahmoud A, El-Sharkawy YH.
europepmc +1 more source
Data-Driven Classification of Solubility Space in Deep Eutectic Solvents: Deciphering Driving Forces Using PCA and K-Means Clustering. [PDF]
Cysewski P, Przybyłek M, Jeliński T.
europepmc +1 more source

