Results 51 to 60 of about 1,784,102 (271)
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
Mobile Cloud Data Storage Based on Gibbs Sampling and Probability Distribution Estimation [PDF]
Jisuanji gongcheng, 2017 In order to improve the computing and storage capacity of mobile cloud data storage remote server,this paper proposes an improved mobile cloud data storage algorithm.Firstly,it constructs resampling expected propagation time calculation model by ...
LI Youling,CHANG Zhiquan
doaj +1 more source
Nested Sampling with Constrained Hamiltonian Monte Carlo
, 2010 Nested sampling is a powerful approach to Bayesian inference ultimately limited by the computationally demanding task of sampling from a heavily constrained probability distribution.
Betancourt, M. J.
core +1 more source
Molecular Oncology, EarlyView.Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard +12 more
wiley +1 more source
Two adaptive rejection sampling schemes for probability density functions log-convex tails [PDF]
, 2011 Monte Carlo methods are often necessary for the implementation of optimal Bayesian estimators. A fundamental technique that can be used to generate samples from virtually any target probability distribution is the so-called rejection sampling method ...
Martino, Luca, Míguez, Joaquín
core +2 more sources
A Generalization of Metropolis and Heat-Bath Sampling for Monte Carlo Simulations
, 1999 For a wide class of applications of the Monte Carlo method, we describe a general sampling methodology that is guaranteed to converge to a specified equilibrium distribution function. The method is distinct from that of Metropolis in that it is sometimes
Bruce M. Boghosian +4 more
core +1 more source
Molecular Oncology, EarlyView.Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 more
wiley +1 more source
Gaussian Boson Sampling using threshold detectors
, 2018 We study what is arguably the most experimentally appealing Boson Sampling architecture: Gaussian states sampled with threshold detectors. We show that in this setting, the probability of observing a given outcome is related to a matrix function that we ...
Arrazola, Juan Miguel +2 more
core +1 more source
Molecular Oncology, EarlyView.The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
Estimating Income Variances by Probability Sampling: A Case Study [PDF]
Pakistan Journal of Commerce and Social Sciences, 2010 The main focus of the study is to estimate variability in income distribution of households by conducting a survey. The variances in income distribution have been calculated by probability sampling techniques.
Akbar Ali Shah, M. Aleem
doaj