Results 61 to 70 of about 967,632 (327)
Statistical inference for generalized Ornstein-Uhlenbeck processes
, 2015 In this paper, we consider the problem of statistical inference for generalized Ornstein-Uhlenbeck processes of the type \[ X_{t} = e^{-\xi_{t}} \left( X_{0} + \int_{0}^{t} e^{\xi_{u-}} d u \right), \] where \(\xi_s\) is a L{\'e}vy process.
Belomestny, Denis, Panov, Vladimir
core +1 more source
EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines
Molecular Oncology, EarlyView.The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche +8 more
wiley +1 more source
Statistical Inference using the Morse-Smale Complex
, 2017 The Morse-Smale complex of a function $f$ decomposes the sample space into cells where $f$ is increasing or decreasing. When applied to nonparametric density estimation and regression, it provides a way to represent, visualize, and compare multivariate ...
Chen, Yen-Chi +2 more
core +1 more source
Molecular Oncology, EarlyView.Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon +13 more
wiley +1 more source
PLoS ONE, 2021 In a balanced design, researchers allocate the same number of units across all treatment groups. It has been believed as a rule of thumb among some researchers in agriculture. Sometimes, an unbalanced design outperforms a balanced design.
Steven B Kim +2 more
doaj +1 more source
Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
Statistical Inference Based on L-Moments [PDF]
Statistika: Statistics and Economy Journal, 2017 To overcome drawbacks of central moments and comoment matrices usually used to characterize univariate and multivariate distributions, respectively, their generalization, termed L-moments, has been proposed.
Tereza Šimková
doaj
Privacy Against Statistical Inference
, 2012 We propose a general statistical inference framework to capture the privacy threat incurred by a user that releases data to a passive but curious adversary, given utility constraints.
Calmon, Flavio du Pin, Fawaz, Nadia
core +1 more source
Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation
Molecular Oncology, EarlyView.Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides +13 more
wiley +1 more source