Results 111 to 120 of about 785,223 (333)

Quantifying Statistical Heterogeneity and Reproducibility in Cooperative Multi-Agent Reinforcement Learning: A Meta-Analysis of the SMAC Benchmark

Algorithms
This study presents the first quantitative meta-analysis in cooperative multi-agent reinforcement learning (MARL). Undertaken on the StarCraft Multi-Agent Challenge (SMAC) benchmark, we quantify reproducibility and statistical heterogeneity across ...
Rex Li, Chunyu Liu
doaj   +1 more source

An R package "VariABEL" for genome-wide searching of potentially interacting loci by testing genotypic variance heterogeneity

BMC Genetics, 2012
Background Hundreds of new loci have been discovered by genome-wide association studies of human traits. These studies mostly focused on associations between single locus and a trait. Interactions between genes and between genes and environmental factors
Struchalin Maksim V, Amin Najaf, Eilers Paul HC, van Duijn Cornelia M, Aulchenko Yurii S   +4 more
doaj   +1 more source

Kernel Methods for Small Sample and Asymptotic Tail Inference for Dependent, Heterogeneous Data [PDF]

This paper considers tail shape inference techniques robust to substantial degrees of serial dependence and heterogeneity. We detail a new kernel estimator of the asymptotic variance and the exact small sample mean-squared-error, and a simple ...
Jonathan Hill
core  

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

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, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

Adaptive Estimation of Autoregressive Models with Time-Varying Variances [PDF]

Stable autoregressive models of known finite order are considered with martingale differences errors scaled by an unknown nonparametric time-varying function generating heterogeneity.
Ke-Li Xu, Peter C.B. Phillips
core  

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Heterogeneity of Variances in Milk Yield in Murrah Buffaloes

Animals
The aim of this study was to assess the presence of heterogeneity of variance in milk yield in the first lactation of buffaloes and its subsequent influence on the genetic evaluation of Murrah breed sires.
Raimundo Nonato Colares Camargo Júnior, Cláudio Vieira de Araújo, José Ribamar Felipe Marques, Marina de Nadai Bonin Gomes, Welligton Conceição da Silva, Tatiane Silva Belo, Carlos Eduardo Lima Sousa, Éder Bruno Rebelo da Silva, Larissa Coelho Marques, Mauro Marinho da Silva, Marcio Luiz Repolho Picanço, José de Brito Lourenço-Júnior, Alison Miranda Santos, Albiane Sousa de Oliveira, Jaqueline Rodrigues Ferreira Cara, André Guimaraes Maciel e Silva   +15 more
doaj   +1 more source

A comparison of strategies for Markov chain Monte Carlo computation in quantitative genetics

Genetics Selection Evolution, 2008
In quantitative genetics, Markov chain Monte Carlo (MCMC) methods are indispensable for statistical inference in non-standard models like generalized linear models with genetic random effects or models with genetically structured variance heterogeneity ...
Sorensen Daniel, Ibánẽz-Escriche Noelia, Waagepetersen Rasmus   +2 more
doaj   +1 more source

Heterogeneous Information and Appraisal Smoothing [PDF]

This study examines the heterogeneous appraiser behavior and its implication on the traditional appraisal smoothing theory. We show that the partial adjustment model is consistent with the traditional appraisal smoothing argument only when all the ...
Ping Cheng, Yingchun Liu, Zhenguo Lin
core  

Tumor and germline testing with next generation sequencing in epithelial ovarian cancer: a prospective paired comparison using an 18‐gene panel

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, Cristina Mitric, Melanie Care, Tracy L. Stockley, Raymond H. Kim, Jeanna McCuaig, Blaise Clarke, Laura Ranich, Clare Sheen, Sarah E. Ferguson, Liat Hogen, Taymaa May, Marcus Q. Bernardini   +12 more
wiley   +1 more source