Results 181 to 190 of about 18,144,236 (296)
Estimating Transition Intensity Rate on Interval-censored Data Using Semi-parametric with EM Algorithm Approach. [PDF]
Qian C +4 more
europepmc +1 more source
Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. [PDF]
Chang C, Oh J, Min EJ, Long Q.
europepmc +1 more source
Clustering and classification of fuzzy data using the fuzzy EM algorithm
B. Quost, T. Denoeux
semanticscholar +1 more source
IL‐1β upregulates the protein level of WTAP, which promotes the m6A modification of ACSL4 mRNA in an IGF2BP2‐dependent manner, thereby enhancing its stability. The increased ACSL4 drives lipid peroxidation, leading to lysosomal membrane permeabilization (LMP) and impaired mitophagy, which collectively accelerate intervertebral disc degeneration (IVDD).
Shu Jia +8 more
wiley +1 more source
Tumor‐associated inflammation retains antibody‐targeted or non‐specific antibody conjugated nanoparticles within the tumor microenvironment. Magnetic Particle Imaging (MPI) enables non‐invasive detection and differentiation of tumors from other organs, owing to higher nanoparticle retention by inflammatory cells in the tumor periphery.
Preethi Korangath +9 more
wiley +1 more source
An EM algorithm to improve the estimation of the probability of clonal relatedness of pairs of tumors in cancer patients. [PDF]
Mauguen A +3 more
europepmc +1 more source
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English +9 more
wiley +1 more source
An acceleration with errors of the APX-EM algorithm
Factor analysis models are widely used in different disciplines such as economics.When a factor analysis model is implemented, it is needed to estimate the values of the parameters, and the maximum likelihood method is a common method for the estimation ...
DENG Yin, TANG Ya-Yong
doaj
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
The ML-EM Algorithm is Not Optimal for Poisson Noise. [PDF]
Zeng GL.
europepmc +1 more source

