Search Results - subject:"Gene expression data"

Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach

Eluri, Nageswara Rao; Kancharla, Gangadhara Rao; Dara, … - In: Data Technologies and Applications 56 (2021) 2, pp. 247-282

problems of cancer diagnosis are solved by the utilization of gene expression data. The researchers have been introducing many … collected. From the collected gene expression data, the feature extraction is performed. To diminish the length of the feature … KNN. Hence, the developed QICO algorithm is performing well in classifying the cancer data using gene expression data …

Persistent link: https://www.econbiz.de/10014712680

Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs

Weber, Matthias; Schumacher, Martin; Binder, Harald - 2014

We develop an algorithm that incorporates network information into regression settings. It simultaneously estimates the covariate coefficients and the signs of the network connections (i.e. whether the connections are of an activating or of a repressing type). For the coefficient estimation...

Persistent link: https://www.econbiz.de/10010491316

Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs

Weber, Matthias; Schumacher, Martin; Binder, Harald - Tinbergen Instituut - 2014

Persistent link: https://www.econbiz.de/10011257605

Regularized regression incorporating network information : simultaneous estimation of covariate coefficients and connection signs

Weber, Matthias; Schumacher, Martin; Binder, Harald - 2014

Persistent link: https://www.econbiz.de/10010378876

A high-dimensional two-sample test for the mean using random subspaces

Thulin, Måns - In: Computational Statistics & Data Analysis 74 (2014) C, pp. 26-38

gene expression data. Computational aspects of high-dimensional permutation tests are also discussed and an efficient R …

Persistent link: https://www.econbiz.de/10011056421

Analysis of mixed C-means clustering approach for brain tumour gene expression data

Kumar, S. Selva; Inbarani, H. Hannah - In: International Journal of Data Analysis Techniques and … 5 (2013) 2, pp. 214-228

Data mining has become an important topic in effective analysis of gene expression data due to its wide application in … clustering and many of them have been applied to gene expression data, with partial success. The goal of gene clustering is to … techniques for the brain tumour gene expression data. …

Persistent link: https://www.econbiz.de/10010669762

Projection pursuit for exploratory supervised classification

Lee, Eun-Kyung; Cook, Dianne; Klinke, Sigbert; Lumley, … - 2005

In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function...

Persistent link: https://www.econbiz.de/10010263588

Projection Pursuit for Exploratory Supervised Classification

Lee, Eun-Kyung; Cook, Dianne; Klinke, Sigbert; Lumley, … - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2005

Persistent link: https://www.econbiz.de/10005677960

Inverse problem for multivariate time series using dynamical latent variables

Zamparo, M.; Stramaglia, S.; Banavar, J.R.; Maritan, A. - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 11, pp. 3159-3169

method by applying it to an analysis of published gene expression data from cell culture HeLa. …

Persistent link: https://www.econbiz.de/10010589010

Frame potential minimization for clustering short time series

Springer, Tobias; Ickstadt, Katja; Stöckler, Joachim - In: Advances in Data Analysis and Classification 5 (2011) 4, pp. 341-355

Persistent link: https://www.econbiz.de/10009404128