Results 101 to 110 of about 14,660 (227)
Molecular Oncology, Volume 20, Issue 6, Page 1429-1452, June 2026.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, Volume 13, Issue 35, 24 June 2026.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Canonical Correlation Analysis without matrix inversion
, 2014 Canonical correlation analysis (CCA) is one of the most favorable statistical methodologies. However, it is impossible to construct canonical direction matrices when in classical CCA.
임연주
core
Parallel analysis approach for determining dimensionality in canonical correlation analysis
, 2016 Canonical correlations are maximized correlation coefficients indicating the relationships between pairs of canonical variates that are linear combinations of the two sets of original variables.
Simsek, Gülhayat, Aydoğdu, Selahattin
core +1 more source
Advanced Science, Volume 13, Issue 34, 19 June 2026.ABSTRACT Blood‐based liquid biopsies hold transformative potential for non‐invasive cancer management, but current approaches relying on rare circulating tumor components limit their broad clinical utility. Platelets, abundant in blood and mediating diverse cancer‐associated responses, represent a compelling yet largely unexplored alternative.
Yan Ma +28 more
wiley +1 more source
Sparse canonical methods for biological data integration: application to a cross-platform study
BMC Bioinformatics, 2009 Background In the context of systems biology, few sparse approaches have been proposed so far to integrate several data sets. It is however an important and fundamental issue that will be widely encountered in post genomic studies, when simultaneously ...
Robert-Granié Christèle +3 more
doaj +1 more source
Alzheimer's &Dementia, Volume 22, Issue 6, June 2026.Abstract BACKGROUND APPE693Q (“Dutch”) transgenic mice develop aging‐related learning deficits and accumulate endogenously generated non‐fibrillar aggregates (NFAs) of amyloid beta (Aβ) and amyloid precursor protein α‐carboxy terminal fragments. NFA‐Aβ correlates with synaptic loss and memory deficits more closely than does fibrillar Aβ.
Emilie L. Castranio +28 more
wiley +1 more source
Clinical &Translational Immunology, Volume 15, Issue 6, 2026.Single‐cell and paired V(D)J profiling show that paediatric adenoid hypertrophy features expanded proliferative germinal‐centre B cells with impaired maturation. Abstract Objectives To characterise the immune cellular landscape and paired B‐cell and T‐cell receptor repertoires of hypertrophic adenoids in children with obstructive sleep apnoea.
Chao Wang +6 more
wiley +1 more source
CCA: An R Package to Extend Canonical Correlation Analysis
Canonical correlations analysis (CCA) is an exploratory statistical method to highlight correlations between two data sets acquired on the same experimental units.
Sébastien Déjean +3 more
core
, 2015 CCA was run first for all four populations combined, after first mean-standardizing each trait within each population, to avoid correlations arising from between-population differences.
Matthew Schmerer (553593) +3 more
core +1 more source