Results 111 to 120 of about 1,120,836 (288)
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data. [PDF]
Gu Y, Erosheva EA, Xu G, Dunson DB.
europepmc +1 more source
Coding categorical data for simple correspondence analysis
Simple correspondence analysis is a very popular exploratory tool used to graphically identify the association between two categorical variables. It is generally performed by applying singular value decomposition on the standardised cell values of the ...
Beh, Eric J. +4 more
core
Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski +10 more
wiley +1 more source
Robust categorical data analysis [PDF]
Many quantities of scientific, political, or public interest are measured through categorical variables. A categorical variable is characterized by only taking values in a known countable range.
Welz, Max
core +2 more sources
From correspondence analysis to multiple and joint correspondence analysis [PDF]
The generalization of simple (two-variable) correspondence analysis to more than two categorical variables, commonly referred to as multiple correspondence analysis, is neither obvious nor well-defined.
Michael Greenacre
core
1997-12-26An extended method of nonmetric (nonlinear) principal components analysis (PCA) for (unordered) categorical data, which gives multiple quantifications to categories of an item maximizing the size of explained variances by the factor analytical ...
Murakami, Takashi, 村上, 隆
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Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Bayesian Clustering of Categorical Time Series Using Finite Mixtures of Markov Chain Models [PDF]
Two approaches for model-based clustering of categorical time series based on time- homogeneous first-order Markov chains are discussed. For Markov chain clustering the in- dividual transition probabilities are fixed to a group-specific transition matrix.
Sylvia Frühwirth-Schnatter +1 more
core
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. [PDF]
Ni Y.
europepmc +1 more source

