Results 281 to 290 of about 4,816,806 (365)
Landscape of BRAF transcript variants in human cancer
Molecular Oncology, EarlyView.We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda +5 more
wiley +1 more source
Loss of proton‐sensing GPR4 reduces tumor progression in mouse models of colon cancer
Molecular Oncology, EarlyView.G protein‐coupled receptor 4 (GPR4) is a pH‐sensing receptor activated by acidic pH. GPR4 expression is increased in patients with inflammatory bowel disease who are at high risk of developing colorectal cancer. In mouse models, loss of GPR4 attenuated tumor progression. This correlated with increased IL2 and natural killer cell activity.
Leonie Perren +16 more
wiley +1 more source
TRPM8 levels determine tumor vulnerability to channel agonists
Molecular Oncology, EarlyView.TRPM8 is a Ca2+ permissive channel. Regardless of the amount of its transcript, high levels of TRPM8 protein mark different tumors, including prostate, breast, colorectal, and lung carcinomas. Targeting TRPM8 with channel agonists stimulates inward calcium currents followed by emptying of cytosolic Ca2+ stores in cancer cells.
Alessandro Alaimo +18 more
wiley +1 more source
Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer
Molecular Oncology, EarlyView.Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte +10 more
wiley +1 more source
Nested analysis of variance with autocorrelated errors.
, 1985 Sastry G. Pantula, Kenneth H. Pollock
openalex
Transfusion, 2018 The basic concepts and models of analysis of variance are introduced in this chapter. This chapter includes self-explanatory discussion on both one-way and two-way classifications. For both one-way and two-way analysis of variance, the models and assumptions, the analysis of variance techniques, decomposition of total sum of squares, pooled estimate of
Aaron S. Hess, John R. Hess
semanticscholar +7 more sources
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Applied Engineering Statistics, 2021
Analysis of variance is a procedure that examines the effect of one (or more) independent variable(s) on one (or more) dependent variable(s). For the independent variables, which are also called factors or treatments, only a nominal scaling is required, while the dependent variable (also called target variable) is scaled metrically.
Klaus Backhaus +4 more
openaire +3 more sources
Analysis of variance is a procedure that examines the effect of one (or more) independent variable(s) on one (or more) dependent variable(s). For the independent variables, which are also called factors or treatments, only a nominal scaling is required, while the dependent variable (also called target variable) is scaled metrically.
Klaus Backhaus +4 more
openaire +3 more sources
Definitions, 2020 The penguins you have been studying live on three different islands. We initially explored the Adelie penguins of Biscoe Island – and compared them to all Adelie penguins. However, that method might be a trifle flawed. What we really want to do is measure the average weight of each island’s Adelie penguins – and see if any three of the islands are not ...
Joshua F. Wiley, Matt Wiley
openaire +3 more sources
Multivariate Analysis of Variance (MANOVA)
The SAGE Encyclopedia of Research Design, 2022This module calculates power for multivariate analysis of variance (MANOVA) designs having up to three factors. It computes power for three MANOVA test statistics: Wilks’ lambda, Pillai-Bartlett trace, and Hotelling-Lawley trace.
Leonard Onyiah
semanticscholar +1 more source
Introduction to analysis of variance
Advanced Statistics for Physical and Occupational Therapy, 2022The boxplot suggests a violation of the equality of variance assumption. The sample sizes are large enough the assumption met we see this of deviation, so we conclude that the equality of variance assumption is suspect. I’ll first perform an ANOVA on the
T. Almonroeder
semanticscholar +1 more source