Results 111 to 120 of about 1,751,067 (274)

Canonical correspondence analysis in social science research [PDF]

The use of simple and multiple correspondence analysis is well-established in social science research for understanding relationships between two or more categorical variables.
Michael Greenacre
core  

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

Molecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau, Lilian G. Zhai, Ryunosuke Hoshi, Zackary Rousseau, Abraam Zakhary, Yin Fang Wu, Rola M. Saleeb, Heyu Ni, Kelsie L. Thu   +8 more
wiley   +1 more source

Rotation in Multiple Correspondence Analysis: a planar rotation iterative procedure [PDF]

Multiple Correspondence Analysis (MCA) is a well-known multivariate method for statistical description of categorical data (see for instance Greenacre and Blasius, 2006). Similarly to what is done in Principal Component Analysis (PCA) and Factor Analysis,
Jérome SARACCO (GREThA UMR CNRS 5113), Marie CHAVENT (IMB UMR CNRS 5251), Vanessa KUENTZ (IMB UMR CNRS 5251)   +2 more
core  

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Implementing a Class of Permutation Tests: The coin Package

Journal of Statistical Software, 2008
The R package coin implements a unified approach to permutation tests providing a huge class of independence tests for nominal, ordered, numeric, and censored data as well as multivariate data at mixed scales.
Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel, Achim Zeileis   +3 more
doaj  

Spanish Tourist Behaviour: A Specific Objective-base Segmantation [PDF]

This work uses data from the Spanish Tourism Demand Segments Survey (N=6900) conducted by the IESA-CSIC for Turismo Andaluz, SA. The objective of the paper is to develop a statistical segmentation or typology of Spanish tourists based on objective ...
González, Pablo Rodríguez, Molina, Oscar   +1 more
core   +1 more source

DNA methylation and expression of MAPRE3 affect overall survival of early‐stage non‐small cell lung cancer patients

Molecular Oncology, EarlyView.
Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen, Jiancheng Cheng, Ruili Hou, Xiaoyuan Zheng, Li Su, Maria Moksnes Bjaanæs, Anna Karlsson, Maria Planck, Johan Staaf, Åslaug Helland, Manel Esteller, David C. Christiani, Feng Chen, Xiaofei Cao, Ruyang Zhang   +14 more
wiley   +1 more source

MGLM: An R Package for Multivariate Categorical Data Analysis. [PDF]

R J, 2018
Kim J, Zhang Y, Day J, Zhou H.
europepmc   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

Molecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel, Izabela Kubiak, Lena Rutkowska, Żaneta Kasprzyk, Łukasz Kępczyński, Michał Bednarek, Dariusz Sobieraj, Jacek Wilkosz, Piotr Kania, Adam Jędrzejczyk, Bogdan Kałużewski, Agnieszka Gach, Tadeusz Kałużewski   +12 more
wiley   +1 more source

Variable selection for ordered categorical data in regression analysis: Information criteria vs. lasso

Research in Statistics
Variable selection in regression analysis with ordered categorical variables can be simplified by integrating some categories and introducing transformed dummy variables.
Mototsugu Fukushige
doaj   +1 more source