![]() Reliable CNV detection in targeted sequencing applications Gene Set Analysis of (Rare) Copy Number Variants Identifies false positives of CNV calling tools by using SNV callsĪ Framework of Functions to Combine, Analize and Interpret CNVs Calling Results Integration of CellNOptR to add missing linksĬonvert segment data into a region by sample matrix to allow for other high level computational analyses. Synthesis of microarray-based classificationĪ data package containing annotation data for cMAPįramework for Building Interfaces to Shell CommandsĬn.FARMS - factor analysis for copy number estimationĬn.mops - Mixture of Poissons for CNV detection in NGS dataĪ normalization method for Copy Number Aberration in cancer samplesĪdd-on to CellNOptR: Discretized time treatments Variable Selection for Gaussian Model-Based Clustering Visualise Clusterings at Different Resolutions Searching for Optimal Clustering Procedure for a Data SetĬompute cluster stability scores for microarray dataĬlassifier for Single-cell RNA-seq Using Cell Clusters The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data Reproducibility of Gene Expression ClustersĬlustering of high-throughput sequencing data by identifying co-expression patterns Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering Judging Quality of Clustering Methods using Mutual InformationĪ universal enrichment tool for interpreting omics data ![]() Random Cluster Generation (with Specified Degree of Separation) ![]() Tools for performing taxonomic assignmentĬlustering of MS2 Spectra for Metabolite IdentificationĬompare Clusterings for Single-Cell Sequencing High throughput analysis of T cell antigen receptor sequencesĬlassification by local similarity threshold Gene Set Analysis Exploiting Pathway TopologyĪ package for the CLIP data visualizationĪnnotation of Isotopes, Adducts and Fragmentation Adducts for in-Source LC/MS Metabolomics Data 909 Next › Last »Ĭlinical Trial Design and Data Analysis FunctionsĪ package for the clinical proteomic profiling data analysis ![]()
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