Results 151 to 160 of about 1,020,465 (280)
Supervised two-dimensional functional principal component analysis with time-to-event outcomes and mammogram imaging data. [PDF]
Jiang S, Cao J, Rosner B, Colditz GA.
europepmc +1 more source
Spatial Risk Premium on Weather Derivatives and Hedging Weather Exposure in Electricity [PDF]
Due to dependency of energy demand on temperature, weather derivatives enable the effective hedging of temperature related fluctuations. However, temperature varies in space and time and therefore the contingent weather derivatives also vary. The spatial
Maria Osipenko, Wolfgang Karl Härdle
core
Nonlinear functional principal component analysis using neural networks
Functional principal component analysis (FPCA) is an important technique for dimension reduction in functional data analysis (FDA). Classical FPCA method is based on the Karhunen-Loève expansion, which assumes a linear structure of the observed functional data.
Zhong, Rou +2 more
openaire +2 more sources
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto +13 more
wiley +1 more source
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Testing differentially methylated regions through functional principal component analysis. [PDF]
Milad M, Olbricht GR.
europepmc +1 more source
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 more
wiley +1 more source
Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis. [PDF]
Dong JJ, Shi H, Wang L, Zhang Y, Cao J.
europepmc +1 more source
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
Early diagnosis of Alzheimer's disease on ADNI data using novel longitudinal score based on functional principal component analysis. [PDF]
Shi H +6 more
europepmc +1 more source

