Results 71 to 80 of about 38,822 (259)
Scatter Matrices and Independent Component Analysis
In the independent component analysis (ICA) it is assumed that the components of the multivariate independent and identically distributed observations are linear transformations of latent independent components.
Hannu Oja, Seija Sirkiä, Jan Eriksson
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Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
Dependent Samples in Empirical Estimation of Stochastic Programming Problems
Stochastic optimization models are built with the assumption that the underlying probability measure is entirely known. This is not true in practice, however: empirical approximation or estimates are used instead.
Vlasta Kaňková, Michal Houda
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On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy
An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
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Nachruf: Prof. Ing. Dr. Adolf ADAM
Nachruf: Prof. Ing. Dr. Adolf ADAM (* 9. Februar 1918, †7. August 2004)
Wilfried Grossmann, Norbert Rozsenich
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The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Trimmed Likelihood-based Estimation in Binary Regression Models
Binary-choice regression models such as probit and logit are typically estimated by the maximum likelihood method. To improve its robustness, various M-estimation based procedures were proposed, which however require bias corrections to achieve ...
Pavel Čížek
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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
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Permutation Tests for Univariate and Multivariate Ordered Categorical Data
In this paper, we provide solutions for univariate and multivariate testing problems with ordered categorical variables by working within the nonparametric combination of dependent permutation tests (see Pesarin, 2001).
Fortunato Pesarin, Luigi Salmaso
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Ellis on Mathematical Statistics and Probability
AbstractRobert Leslie Ellis’s work in mathematical statistics and probability can be conveniently grouped under three headings: (1) his 1844 critique of the justifications of the method of least squares, (2) his short 1842 paper on the foundations of probability (with a brief follow-up in 1854), and (3) his return to least squares in 1850. The first of
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