Results 31 to 40 of about 333,475 (312)
Pruning and Nonparametric Multiple Change Point Detection
, 2017 Change point analysis is a statistical tool to identify homogeneity within time series data. We propose a pruning approach for approximate nonparametric estimation of multiple change points.
James, Nicholas +2 more
core +1 more source
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceWe present a nonparametric statistical test for determining whether an agent is following a given mixed strategy in a repeated strategic-form game given samples of the agent's play.
Sam Ganzfried
doaj +1 more source
Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping
Frontiers in Neuroscience, 2014 Although ultra-high-field fMRI at field strengths of 7T or above provides substantial gains in BOLD contrast-to-noise ratio, when very high-resolution fMRI is required such gains are inevitably reduced.
Johannes eStelzer +8 more
doaj +1 more source
Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
BMC Bioinformatics, 2017 Background Probabilistic assessments of clinical care are essential for quality care. Yet, machine learning, which supports this care process has been limited to categorical results.
Brian Connolly +4 more
doaj +1 more source
Nonparametric statistical tests for the continuous data: the basic concept and the practical use [PDF]
Korean Journal of Anesthesiology, 2016 Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software ...
Francis Sahngun Nahm
doaj +1 more source
Rates of contraction for posterior distributions in $\bolds{L^r}$-metrics, $\bolds{1\le r\le\infty}$
, 2011 The frequentist behavior of nonparametric Bayes estimates, more specifically, rates of contraction of the posterior distributions to shrinking $L^r$-norm neighborhoods, $1\le r\le\infty$, of the unknown parameter, are studied. A theorem for nonparametric
Giné, Evarist, Nickl, Richard
core +1 more source
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
Nonparametric regression with homogeneous group testing data
, 2012 We introduce new nonparametric predictors for homogeneous pooled data in the context of group testing for rare abnormalities and show that they achieve optimal rates of convergence.
Delaigle, Aurore, Hall, Peter
core +1 more source
Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells
Molecular Oncology, EarlyView.We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller +17 more
wiley +1 more source