Results 71 to 80 of about 10,283,828 (367)

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

Aggregation for Gaussian regression

, 2007
This paper studies statistical aggregation procedures in the regression setting. A motivating factor is the existence of many different methods of estimation, leading to possibly competing estimators. We consider here three different types of aggregation:
Bunea, Florentina, Tsybakov, Alexandre B., Wegkamp, Marten H.   +2 more
core   +1 more source

CDK11 inhibition induces cytoplasmic p21WAF1 splice variant by p53 stabilisation and SF3B1 inactivation

Molecular Oncology, EarlyView.
CDK11 inhibition stabilises the tumour suppressor p53 and triggers the production of an alternative p21WAF1 splice variant p21L, through the inactivation of the spliceosomal protein SF3B1. Unlike the canonical p21WAF1 protein, p21L is localised in the cytoplasm and has reduced cell cycle‐blocking activity.
Radovan Krejcir, Lukasz Arcimowicz, Lucia Martinkova, Vaclav Hrabal, Filip Zavadil Kokas, Tomas Henek, Martina Kucerikova, Ondrej Bonczek, Pavlina Zatloukalova, Lenka Hernychova, Philip J. Coates, Borivoj Vojtesek, David P. Lane   +12 more
wiley   +1 more source

Data Analysis Using Regression and Multilevel/Hierarchical Models

, 2009
There is a lot of books, user manual, or guidebook that related to Data Analysis Using Regression And Multilevel Hierarchical Models PDF, such as : alternative medicine resource guide toyota conquest workshop manual mendelian patterns of inheritance ...
J. Hilbe
semanticscholar   +1 more source

Mixture regression for observational data, with application to functional regression models [PDF]

, 2013
In a regression analysis, suppose we suspect that there are several heterogeneous groups in the population that a sample represents. Mixture regression models have been applied to address such problems.
Hoshikawa, Toshiya
core  

Current status linear regression

, 2017
We construct $\sqrt{n}$-consistent and asymptotically normal estimates for the finite dimensional regression parameter in the current status linear regression model, which do not require any smoothing device and are based on maximum likelihood estimates (
Groeneboom, Piet, Hendrickx, Kim
core   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source

Predicting the body core temperature of recreational athletes at the end of a 10 km self‐paced run under environmental heat stress

Experimental Physiology, 2023
Measurement of body core temperature (Tcore) is paramount to determining the thermoregulatory strain of athletes. However, standard measurement procedures of Tcore are not practical for extended use outside the laboratory environment.
Marcelo T. Andrade, Matheus M. S. Nunes‐Leite, Rúbio S. Bruzzi, Carlos H. Souza, João P. Uendeles‐Pinto, Luciano S. Prado, Danusa D. Soares, Dawit A. P. Gonçalves, Cândido C. Coimbra, Samuel P. Wanner   +9 more
doaj   +1 more source

Support Vector Machines and Support Vector Regression [PDF]

, 2022
Osval A. Montesinos-L֯ópez, Abelardo Montesinos‐López, José Crossa   +2 more
openalex   +1 more source

Scaled Sparse Linear Regression

, 2012
Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iteratively estimating the noise level via the mean residual square and scaling ...
Sun, Tingni, Zhang, Cun-Hui
core   +1 more source