Classification of clinical gene-sample-time microarray expression data via tensor decomposition methods. In Computational Intelligence Methods for Bioinformatics and Biostatistics. Springer, 275-286.Y. Li and A.
Biostatistics Evaluation of classification systems in a survival setting NEW YORK UNIVERSITY Judith D. GoldbergIlana Belitskaya-Levy PriceLeah ShifraThere is no universally accepted measure for the evaluation of classification systems in a survival setting. We studied 14 evaluation measures that have ...
A further comparison of splitting rules for decision-tree induction Mach. Learn., 8 (1992), pp. 75-85 View in ScopusGoogle Scholar Ciampi et al., 1987 Ciampi A., Chang C.H., Hogg S., McKinney S. Recursive partitioning: a versatile method fort exploratory data analysis in biostatistics ...
These variants include 1,282 SNVs that are categorized as missense VUS in the clinical variant database ClinVar, with 77.2% of these classified as benign and 20.4% classified as pathogenic using our functional score. Our assay provides evidence that 3,384 of the SNVs in the region are ...
Recently, statistical analysis of point pattern data has been of particular interest in a broad range of scientific disciplines (Illian et al. 2004), including biology and biostatistics (Andersen et al. 2018; Hooghoudt et al. 2017; Kuronen et al. 2021; Li et al. 2016), ecology (Redenbach...
The data are available within the Article or the Supplementary Information. The imaging data for 9 out of a total of 13 cohorts used in this study are publicly available through the TCIA website (https://www.cancerimagingarchive.net/), as described in the Supplementary Information. The imaging...
ClassNames has the same data type as the data in the argument Y. (The software treats string arrays as cell arrays of character vectors.) Coeffs k-by-k structure of coefficient matrices, where k is the number of classes. Coeffs(i,j) contains coefficients of the linear or quadratic ...
We compare the performance of four commonly used classifiers (K-Nearest Neighbors, Prediction Analysis for Microarrays, Random Forests and Support Vector Machines) in high-dimensionality data settings. We evaluate the effects of varying levels of signal-to-noise ratio in the dataset, imbalance in ...
In many real classification problems a monotone relation between some predictors and the classes may be assumed when higher (or lower) values of those pred
(2024). Exploring the landscape of big data analytics in financial decision making. Accounting Studies and Tax Journal (COUNT), 1(2), 167–177. https://doi.org/10.62207/7spd4813 Article Google Scholar Mchugh, M. L. (2013). The Chi-square test of independence Lessons in biostatistics. ...