Results 51 to 60 of about 747,976 (285)

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

ABOUT THE BEST LINEAR UNBIASED PREDICTOR (BLUP) AND ASSOCIATED RESTRICTIONS SOBRE LA CONSTRUCCIÓN DEL MEJOR PREDICTOR LINEAL INSESGADO (BLUP) Y RESTRICCIONES ASOCIADAS

Revista Colombiana de Estadística, 2007
The mixed linear model is characterized using the classic linear model of Gauss-Markov. The multipliers of Lagrange are a tool to obtain the best lineal predictors (BLUP), we shown the results of Searle (1997), where some sums of the best linear unbiased
López Luis Alberto, Franco Diana Carolina, Barreto Sandra Patricia   +2 more
doaj  

Macroeconomic and Institutional Factors, Debt Composition and Capital Structure of Latin American Companies

BBR: Brazilian Business Review, 2018
The objective of this research was to examine the influence of macroeconomic and institutional factors when determining the capital structure of Latin American companies from 2009 to 2014, and also analyze if the significance of these factors to explain ...
Cláudio Bernardo, Tatiana Albanez, José Roberto Securato   +2 more
doaj   +1 more source

Factors Associated with School Effectiveness: Detection of High- and Low-Efficiency Schools through Hierarchical Linear Models

Education Sciences, 2022
School effectiveness is a topic of interest addressed by numerous research projects focused on clarifying which variables contribute to the explanation of educational performance.
Jesús García-Jiménez, Juan-Jesús Torres-Gordillo, Javier Rodríguez-Santero   +2 more
doaj   +1 more source

p-Adic Models of Ultrametric Diffusion Constrained by Hierarchical Energy Landscapes

, 2001
We demonstrate that p-adic analysis is a natural basis for the construction of a wide variety of the ultrametric diffusion models constrained by hierarchical energy landscapes.
A H Bikulov, Ansary A, Aref'eva I Ya, Avetisov V A, Blumen A, Frauenfelder H, Frauenfelder H, Huberman B A, Köhler G, Leeson D Th, Leeson D Th, Mezard M, S V Kozyrev, Steinbach P J, V A Avetisov, V A Osipov, Vladimirov V S, Vladimirov V S   +17 more
core   +2 more sources

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Sobre la construcción del mejor predictor lineal insesgado (BLUP) y restricciones asociadas

Revista Colombiana de Estadística, 2007
A través del modelo lineal clásico de Gauss-Markov, se caracteriza el modelo de efectos mixtos, se aplica la técnica de multiplicadores de Lagrange para obtener los mejores predictores lineales (BLUP) y se ilustran los resultados de Searle (1997), donde ...
LUIS ALBERTO LÓPEZ, DIANA CAROLINA FRANCO, SANDRA PATRICIA BARRETO   +2 more
doaj  

Application of Hierarchical Spatial Autoregressive Models to Develop Land Value Maps in Urbanized Areas

ISPRS International Journal of Geo-Information, 2019
This article aims at testing the possibilities of applying hierarchical spatial autoregressive models to create land value maps in urbanized areas. The use of HSAR (Hierarchical Spatial Autoregressive) models for spatial differentiation of prices in the ...
Radosław Cellmer, Katarzyna Kobylińska, Mirosław Bełej   +2 more
doaj   +1 more source

Suppressor variables and multilevel mixture modelling. [PDF]

, 2006
A major issue in educational research involves taking into consideration the multilevel nature of the data. Since the late 1980s, attempts have been made to model social science data that conform to a nested structure.
Darmawan, I Gusti Ngurah, Keeves, John Philip   +1 more
core  

Algorithms for Hierarchical Clustering: An Overview, II [PDF]

, 2017
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We look at hierarchical self-organizing maps, and mixture models.
Benzécri JP, Bruynooghe M, Gan G, Gordon AD, Jain AK, Juan J, Kohonen T, Le Roux B, Lerman IC, Murtagh F, Murtagh F, Rapoport A, Rham C, Rijsbergen CJ, Rohlf FJ, Sneath PHA, Vicente D, White HD, Wishart D   +18 more
core   +1 more source