Results 71 to 80 of about 3,294,315 (307)
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Statistical Inference for the Beta Coefficient
Risks, 2019 The beta coefficient plays a crucial role in finance as a risk measure of a portfolio in comparison to the benchmark portfolio. In the paper, we investigate statistical properties of the sample estimator for the beta coefficient.
Taras Bodnar +3 more
doaj +1 more source
New statistical inference for the Weibull distribution [PDF]
Tutorials in Quantitative Methods for Psychology, 2015 Weibull distribution has become a popular tool for modeling life data and improving growth in the field of reliability. The successful application of Weibull distribution to real data depends on the statistical power of hypotheses tests to a large extent.
Zhao, X. +4 more
doaj +1 more source
Thermodynamics of Statistical Inference by Cells [PDF]
Physical Review Letters, 2014 15 pages, 5 figures. V2 includes edits and 2 new figures. V3 is updated to version published in Phys.
Lang, Alex H. +3 more
openaire +3 more sources
Molecular Oncology, EarlyView.Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
Statistical inference of regulatory networks for circadian regulation [PDF]
, 2014 The work described in the present article is part of the TiMet project on linking the circadian clock to metabolism in plants. TiMet is a collaborative project (Grant Agreement 245143) funded by the European Commission FP7, in response to call FP7-KBBE ...
Aderhold, Andrej +2 more
core +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
Geometry of Quantum Statistical Inference [PDF]
Physical Review Letters, 1996 Summary: An efficient geometric formulation of the problem of parameter estimation is developed, based on Hilbert space geometry. This theory, which allows for a transparent transition between classical and quantum statistical inference, is then applied to the analysis of exponential families of distributions (of relevance to statistical mechanics) and
Brody, DC, Hughston, LP
openaire +5 more sources
Translating whole‐genome doubling into precision medicine in cancer
Molecular Oncology, EarlyView.Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley +1 more source
Inference in two-piece location-scale models with Jeffreys priors [PDF]
, 2011 This paper addresses the use of Jeffreys priors in the context of univariate threeparameter location-scale models, where skewness is introduced by differing scale parameters either side of the location.
Rubio, Francisco J., Steel, Mark F. J.
core