Results 71 to 80 of about 1,120,836 (288)
Inconsistency of chi2 test for sparse categorical data under multinomial sampling
Lietuvos Matematikos Rinkinys, 2011 Simple conditions for the inconsistency of Pearson’s chi2 test in case of very sparse categorical data are given. The conditions illustrate the phenomenon of “reversed consistency”: the greater deviation from the null hypothesis the less power of the ...
Pavel Samusenko
doaj +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Assessing Measurement Equivalence in Ordered-Categorical Data
Psicológica, 2011 La invarianza factorial estudia de la equivalencia métrica en el marco del modelo lineal del factor común por medio de la comparación de los parámetros del modelo de medida en los grupos de interés.
Paula Elosua
doaj
Information-Theoretic Modeling of Categorical Spatiotemporal GIS Data
EntropyAn information-theoretic data mining method is employed to analyze categorical spatiotemporal Geographic Information System land use data. Reconstructability Analysis (RA) is a maximum-entropy-based data modeling methodology that works exclusively with ...
David Percy, Martin Zwick
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Categorical variables in DEA. [PDF]
If a DEA model has a mix of categorical and continuous variables a standard LP formulation can still be used by entering all combinations of categorical and continuous variables as different types of inputs and/or outputs.
Finn R. Førsund
core
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
An Improved Count-Based Classifier for Categorical Data
IEEE AccessThe classification of categorical data is a fundamental task in machine learning, with numerous algorithms and techniques available. However, existing approaches often face challenges related to interpretability, scalability, and handling sparse or ...
Sanskriti Sanjay Kumar Singh +1 more
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Characterisation of Serbian durum wheat genotypes based on UPOV-defined characteristics [PDF]
Ratarstvo i Povrtarstvo, 2019 Estimation of the level of durum wheat germplasm genetic diversity is important for its classification and efficient use in breeding programmes. The aim of this study was to assess genetic diversity of durum wheat genotypes developed at the Institute of ...
Takač Verica +6 more
doaj
Exact statistical inference for categorical data
, 2016 Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2
Shan, Guogen, Shan, Guogen,author.
core
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source