Applied Biclustering Methods for Big and High-Dimensional Data Using R
portes grátis
Applied Biclustering Methods for Big and High-Dimensional Data Using R
Hochreiter, Sepp; Talloen, Willem; Shkedy, Ziv; Kasim, Adetayo; Kaiser, Sebastian
Taylor & Francis Ltd
12/2020
428
Mole
Inglês
9780367736859
15 a 20 dias
848
Descrição não disponível.
Introduction. From Cluster Analysis to Biclustering. Biclustering Methods:?-biclustering and FLOC Algorithm. The xMotif Algorithm. The Bimax Algorithm. The Plaid Model. Spectral Biclustering. FABIA. Iterative Signature Algorithm. Ensemble Methods and Robust Solutions. Case Studies and Applications: Gene Expression Experiments in Drug Discovery. Biclustering Methods in Chemoinformatics and Molecular Modeling. Integrative Analysis of miRNA and mRNA Data. Enrichment of Gene Expression Modules using Multiple Factor Analysis and Biclustering. Ranking of Biclusters in Drug Discovery Experiments. HapFABIA: Biclustering for Detecting Identity by Descent. Overcoming Data Dimensionality Problems in Market Segmentation. Identification of Local Patterns in the NBA Performance Indicators. R Tools for Biclustering: The BiclustGUI Package. We R a Community: Including a New Package in BiclustGUI. Biclustering for Cloud Computing. The biclustGUI Shiny App. Bibliography. Index.
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Biclustering Methods;Plaid Model;Big Data Analysis;Data Matrix;biclustering analysis;Biclustering Algorithm;R package BiclustGUI;NBA Data;plaid algorithm;Applying Biclustering Methods;factor analysis for biclustering acquisition;TCGA Data;iterative signature algorithm;Yeast Data;flexible overlapped biclustering;Diffuse Large B Cell Lymphoma;ensemble methods;Gene Expression Profiling;biclustering applications for cloud computing;Shiny Apps;Biclustering Using R;DLBCL;local patterns in a big data matrix;Cloud Computing;Amazon Cloud;Rest Package;TCGA Dataset;TCGA;Membership Vector;NPC1;MFA;Target Prediction;Fractional Polynomial Model;Target Prediction Algorithm;Row Column Combinations;Checkerboard Structure
Introduction. From Cluster Analysis to Biclustering. Biclustering Methods:?-biclustering and FLOC Algorithm. The xMotif Algorithm. The Bimax Algorithm. The Plaid Model. Spectral Biclustering. FABIA. Iterative Signature Algorithm. Ensemble Methods and Robust Solutions. Case Studies and Applications: Gene Expression Experiments in Drug Discovery. Biclustering Methods in Chemoinformatics and Molecular Modeling. Integrative Analysis of miRNA and mRNA Data. Enrichment of Gene Expression Modules using Multiple Factor Analysis and Biclustering. Ranking of Biclusters in Drug Discovery Experiments. HapFABIA: Biclustering for Detecting Identity by Descent. Overcoming Data Dimensionality Problems in Market Segmentation. Identification of Local Patterns in the NBA Performance Indicators. R Tools for Biclustering: The BiclustGUI Package. We R a Community: Including a New Package in BiclustGUI. Biclustering for Cloud Computing. The biclustGUI Shiny App. Bibliography. Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Biclustering Methods;Plaid Model;Big Data Analysis;Data Matrix;biclustering analysis;Biclustering Algorithm;R package BiclustGUI;NBA Data;plaid algorithm;Applying Biclustering Methods;factor analysis for biclustering acquisition;TCGA Data;iterative signature algorithm;Yeast Data;flexible overlapped biclustering;Diffuse Large B Cell Lymphoma;ensemble methods;Gene Expression Profiling;biclustering applications for cloud computing;Shiny Apps;Biclustering Using R;DLBCL;local patterns in a big data matrix;Cloud Computing;Amazon Cloud;Rest Package;TCGA Dataset;TCGA;Membership Vector;NPC1;MFA;Target Prediction;Fractional Polynomial Model;Target Prediction Algorithm;Row Column Combinations;Checkerboard Structure
