Biocview "Classification"

Accurate, high-resolution sample inference from amplicon sequencing data
Accurate, high-resolution sample inference from amplicon sequencing data
Accurate, high-resolution sample inference from amplicon sequencing data
A DNA methylation classifier tool for the identification of pediatric brain tumor subtypes
A DNA methylation classifier tool for the identification of pediatric brain tumor subtypes
A framework for two-class classification problems, with applications to differential variability and differential distribution testing
A framework for two-class classification problems, with applications to differential variability and differential distribution testing
AIMS : Absolute Assignment of Breast Cancer Intrinsic Molecular Subtype
AIMS : Absolute Assignment of Breast Cancer Intrinsic Molecular Subtype
A mass spectrometry imaging toolbox for statistical analysis
A mass spectrometry imaging toolbox for statistical analysis
AmiGO visualize R interface
AmiGO visualize R interface
Analysis of Large-Scale Pharmacogenomic Data
Analysis of Large-Scale Pharmacogenomic Data
Analysis of Large-Scale Pharmacogenomic Data
An R package for nucleosome positioning prediction
An R package for nucleosome positioning prediction
Application of gene classifiers
Application of gene classifiers
Application of gene classifiers
Assess Tumor Microsatellite Instability with a Decision Tree Classifier from Exome Somatic Mutations
Assign Properties to TNBC Patients
Assign Properties to TNBC Patients
Assign Properties to TNBC Patients
Assign rfPred functional prediction scores to a missense variants list
Assign rfPred functional prediction scores to a missense variants list
A tool for quantification of associations between genotypes and phenotypes with statistical learning techniques such as random forests and support vector machines as well as with Bayesian inference using hierarchical models
A tool for quantification of associations between genotypes and phenotypes with statistical learning techniques such as random forests and support vector machines as well as with Bayesian inference using hierarchical models
A tool for quantification of associations between genotypes and phenotypes with statistical learning techniques such as random forests and support vector machines as well as with Bayesian inference using hierarchical models
A tool for unsupervised projection of single cell RNA-seq data
A tool for unsupervised projection of single cell RNA-seq data
A unifying bioinformatics framework for spatial proteomics
A unifying bioinformatics framework for spatial proteomics
A unifying bioinformatics framework for spatial proteomics
BadRegionFinder: an R/Bioconductor package for identifying regions with bad coverage
BadRegionFinder: an R/Bioconductor package for identifying regions with bad coverage
Base package for enabling powerful shiny web displays of Bioconductor objects
Base package for enabling powerful shiny web displays of Bioconductor objects
Better prediction by use of co-data: Adaptive group-regularized ridge regression
Better prediction by use of co-data: Adaptive group-regularized ridge regression
Better prediction by use of co-data: Adaptive group-regularized ridge regression
BGAfun A method to identify specifity determining residues in protein families
BGAfun A method to identify specifity determining residues in protein families
Cell OrderiNg by FluorEScence Signal
Cell OrderiNg by FluorEScence Signal
Check a gene signature's prognostic performance against random signatures, known signatures, and permuted data/metadata
Check a gene signature's prognostic performance against random signatures, known signatures, and permuted data/metadata
Classification and Feature Selection for 'Omics' Datasets
Classification and Feature Selection for 'Omics' Datasets
Classification and Feature Selection for 'Omics' Datasets
Classification by local similarity threshold
Classification by local similarity threshold
Classification for Biological Sequences
Classification for Biological Sequences
Classification of Microarray Samples using Penalized Discriminant Methods
Classification of Microarray Samples using Penalized Discriminant Methods
Classification of RNA-seq data from ALL samples
Classification of RNA-seq data from ALL samples
Classification using generalized partial least squares
Classification using generalized partial least squares
Classification using generalized partial least squares
Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules
Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules
Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules
Classify diseases and build associated gene networks using gene expression profiles
Classify diseases and build associated gene networks using gene expression profiles
Clonality testing
Clonality testing
Cluster and Tree Conversion.
Cluster and Tree Conversion.
Comparison and Visualization of Ranking and Assignment Methods
Comparison and Visualization of Ranking and Assignment Methods
Comparison and Visualization of Ranking and Assignment Methods
Computational comparisons of cytometry profiles
Computational pipeline for computing probability of modification from structure probing experiment data
Computational pipeline for computing probability of modification from structure probing experiment data
Computational pipeline for computing probability of modification from structure probing experiment data
Computation of Gene Expression-Based Signatures in Breast Cancer
Computation of Gene Expression-Based Signatures in Breast Cancer
Computation of Gene Expression-Based Signatures in Breast Cancer
Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings
Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings
CRImage a package to classify cells and calculate tumour cellularity
CRImage a package to classify cells and calculate tumour cellularity
Data Mining for RNA-seq data: normalization, feature selection and classification
Data Mining for RNA-seq data: normalization, feature selection and classification
Data Mining for RNA-seq data: normalization, feature selection and classification
Detecting SNPs with interactive effects on a quantitative trait
Detecting SNPs with interactive effects on a quantitative trait
Development and validation of diagnostic tests from high-dimensional molecular data
Development and validation of diagnostic tests from high-dimensional molecular data
DEXUS - Identifying Differential Expression in RNA-Seq Studies with Unknown Conditions or without Replicates
DEXUS - Identifying Differential Expression in RNA-Seq Studies with Unknown Conditions or without Replicates
Different distance measures
Different distance measures
Different distance measures
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Dual KS Discriminant Analysis and Classification
Dual KS Discriminant Analysis and Classification
Ensemble of Gene Set Enrichment Analyses
Epigenetic and gene transcription data normalization and integration with mixture models
Epigenetic and gene transcription data normalization and integration with mixture models
Exposome exploration and outcome data analysis
Exposome exploration and outcome data analysis
Expression data analysis via the Iterative Signature Algorithm
Expression data analysis via the Iterative Signature Algorithm
fastseg - a fast segmentation algorithm
fastseg - a fast segmentation algorithm
flexible pipelines for secretome prediction
Functions to handle cDNA microarray data, including several methods of data analysis
Functions to handle cDNA microarray data, including several methods of data analysis
GaGa hierarchical model for high-throughput data analysis
GaGa hierarchical model for high-throughput data analysis
Gene expression-based subtype classification for high-grade serous ovarian cancer
Gene expression-based subtype classification for high-grade serous ovarian cancer
Genomic Visualizations in R
Genomic Visualizations in R
Genomic Visualizations in R
Handling and analysis of high-throughput microbiome census data
Handling and analysis of high-throughput microbiome census data
Handling and analysis of high-throughput microbiome census data
Hidden Variable Dynamic Modeling
Hidden Variable Dynamic Modeling
Identification of SNP Interactions
Identification of SNP Interactions
Identify Contaminants in Marker-gene and Metagenomics Sequencing Data
Implementation of gene expression anti-profiles
Implementation of gene expression anti-profiles
Infers biological signatures from gene expression data
Infers biological signatures from gene expression data
Information Accretion-based Function Predictor Evaluation
Information Accretion-based Function Predictor Evaluation
Interface to the Basic Local Alignment Search Tool (BLAST)
Interface to the RDP Classifier
Interface to the RDP Classifier
Kernel-Based Analysis Of Biological Sequences
Kernel-Based Analysis Of Biological Sequences
Learning from DNA to Predict Enhancers
Learning from DNA to Predict Enhancers
Machine learning interface for RNA-Seq data
Machine learning interface for RNA-Seq data
Machine Learning Interface for RNA-Seq Data
massiR: MicroArray Sample Sex Identifier
massiR: MicroArray Sample Sex Identifier
massiR: MicroArray Sample Sex Identifier
massiR: MicroArray Sample Sex Identifier
massiR: MicroArray Sample Sex Identifier
Methods for Continuous Flow Cytometry
Methods for visualization and statistics on DNA methylation data
Methods for visualization and statistics on DNA methylation data
MicroArray Gene-expression-based Program In Error rate estimation
MicroArray Gene-expression-based Program In Error rate estimation
miRNAtap: microRNA Targets - Aggregated Predictions
miRNAtap: microRNA Targets - Aggregated Predictions
Misclassification error estimation with cross-validation
Misclassification error estimation with cross-validation
Misclassification Penalized Posterior Classification
Misclassification Penalized Posterior Classification
MoPS - Model-based Periodicity Screening
MoPS - Model-based Periodicity Screening
Multiple co-inertia analysis of omics datasets
Multiple co-inertia analysis of omics datasets
Multiple co-inertia analysis of omics datasets
Multivariate analysis of microarray data using ADE4
Multivariate analysis of microarray data using ADE4
NetPathMiner for Biological Network Construction, Path Mining and Visualization
NetPathMiner for Biological Network Construction, Path Mining and Visualization
NetPathMiner for Biological Network Construction, Path Mining and Visualization
Normalization and difference calling in ChIP-seq data
Normalization and difference calling in ChIP-seq data
Normalization and difference calling in ChIP-seq data
Objective Assessment of Copy-Number Estimates
Ontology traversal and search
Ontology traversal and search
PAA (Protein Array Analyzer)
PAA (Protein Array Analyzer)
Package for enabling powerful shiny web displays of Bioconductor objects
Package for enabling powerful shiny web displays of Bioconductor objects
PCA, PLS(-DA) and OPLS(-DA) for multivariate analysis and feature selection of omics data
PCA, PLS(-DA) and OPLS(-DA) for multivariate analysis and feature selection of omics data
Permutation-Based Confidence for Molecular Classification
Permutation-Based Confidence for Molecular Classification
Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge
Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge
pIR: Estimating Isoelectric Point (pI) of Peptide and Proteins from Amino Acid Sequence.
Prediction of chromatin looping interactions from ChIP-seq and sequence motifs
Prediction of Oligomerization of Coiled Coil Proteins
Prediction of Oligomerization of Coiled Coil Proteins
PRObabilistic Pathway Score (PROPS)
Random Gene Set Enrichment Analysis
Random Gene Set Enrichment Analysis
RBioinf
RBioinf
Reliable CNV detection in targeted sequencing applications
Reliable CNV detection in targeted sequencing applications
Reliable CNV detection in targeted sequencing applications
Run metabarcoding alalyses for multiple amplicons
Sample Classifier
Sample Classifier
Sample Classifier
Signature discovery from omics data
Signature discovery from omics data
Single-Cell Consensus Clustering
Single-Cell Consensus Clustering
Single-Cell Consensus Clustering
Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems.
Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems.
Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines
Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines
Statistical analysis for sparse high-throughput sequencing
Statistical analysis for sparse high-throughput sequencing
Statistical analysis for sparse high-throughput sequencing
Stepwise Classification of Cancer Samples using High-dimensional Data Sets
Stepwise Classification of Cancer Samples using High-dimensional Data Sets
Summarize, Analyze and Visualize MAF Files
Summarize, Analyze and Visualize MAF Files
Summarize, Analyze and Visualize MAF Files
Synthesis of microarray-based classification
Synthesis of microarray-based classification
Synthesis of microarray-based classification
The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data
The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data
The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data
The Iterative Bayesian Model Averaging (BMA) algorithm
The Iterative Bayesian Model Averaging (BMA) algorithm
Tools for performing taxonomic assignment.
Tools for performing taxonomic assignment.
Tools to analyze in vivo microscopy imaging data focused on tracking flowing blood cells
Tools to analyze in vivo microscopy imaging data focused on tracking flowing blood cells
Tools to analyze in vivo microscopy imaging data focused on tracking flowing blood cells
Tools to analyze in vivo microscopy imaging data focused on tracking flowing blood cells.
Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.
Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.
Uniform interfaces to R machine learning procedures for data in Bioconductor containers
Uniform interfaces to R machine learning procedures for data in Bioconductor containers
Uniform interfaces to R machine learning procedures for data in Bioconductor containers
Utilities to train and validate classifiers based on pair switching using the K-Top-Scoring-Pair (KTSP) algorithm
Utilities to train and validate classifiers based on pair switching using the K-Top-Scoring-Pair (KTSP) algorithm
Variational Bayesian Multinomial Probit Regression
Variational Bayesian Multinomial Probit Regression
Visualize biclusters identified in gene expression data
Visualize biclusters identified in gene expression data