Biocview "Regression"

A DownStream Chemo-Proteomics Analysis Pipeline
A DownStream Chemo-Proteomics Analysis Pipeline
A GAM based framework for analysis of ChIP-Seq data
A GAM based framework for analysis of ChIP-Seq data
A GAM based framework for analysis of ChIP-Seq data
Analyze flow cytometer data to determine sample ploidy
Analyze flow cytometer data to determine sample ploidy
Analyze flow cytometer data to determine sample ploidy
An R Package for Unbiased Splicing Pathway Analysis
An R Package for Unbiased Splicing Pathway Analysis in RNAseq data
A tool for quantification of associations between genotypes and phenotypes with Bayesian inference and statistical learning techniques
A tool for quantification of associations between genotypes and phenotypes with Bayesian inference and statistical learning techniques
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
Automated Quadratic Characterization of Flow Cytometer Instrument Sensitivity: Q, B and CV instrinsic calculations
Automated Quadratic Characterization of Flow Cytometer Instrument Sensitivity: Q, B and CV instrinsic calculations
Bayesian Inference of Regulatory Influence on Expression (biRte)
Bayesian Inference of Regulatory Influence on Expression (biRte)
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
Breakpoint analysis of time-course expression data
Breakpoint analysis of time-course expression data
Cell OrderiNg by FluorEScence Signal
Cell OrderiNg by FluorEScence Signal
Classification using generalized partial least squares
Classification using generalized partial least squares
Classification using generalized partial least squares
CMEA: An R package for Systematic Exploration of Single-Cell Morphological Phenotypes from Transcriptomic Profile
Companion package to chipenrich
Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
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
Contrasts in Mixed Effects for EMMIX Model with Random Effects
Controlling bias and inflation in association studies using the empirical null distribution
Controlling bias and inflation in association studies using the empirical null distribution
Cross-platform consensus analysis of genomic measurements via interlaboratory testing method
csSAM - cell-specific Significance Analysis of Microarrays
Data-Adaptive Statistics for High-Dimensional Multiple Testing
Data-Adaptive Statistics for High-Dimensional Multiple Testing
Data preprocessing and quality control for Illumina HumanMethylation450 and MethylationEPIC BeadChip
Data preprocessing and quality control for Illumina HumanMethylation450 and MethylationEPIC BeadChip
Data preprocessing and quality control for Illumina HumanMethylation450 and MethylationEPIC BeadChip
Detection and inference of differentially methylated regions from Whole Genome Bisulfite Sequencing
Detection and inference of differentially methylated regions from Whole Genome Bisulfite Sequencing
Differential gene expression analysis based on the negative binomial distribution
Differential gene expression analysis based on the negative binomial distribution
Empirical Analysis of Digital Gene Expression Data in R
Empirical Analysis of Digital Gene Expression Data in R
Exposome and omic data associatin and integration analysis
Exposome and omic data associatin and integration analysis
Extraction of Differential Gene Expression
Extraction of Differential Gene Expression
Extraction of Differential Gene Expression
Extraction of Differential Gene Expression
Fast lasso-based isoform prediction as a flow problem
Fast lasso-based isoform prediction as a flow problem
Fit transcriptional regulatory networks using gene expression, priors, machine learning
Fit transcriptional regulatory networks using gene expression, priors, machine learning
Fit transcriptional regulatory networks using gene expression, priors, machine learning
Fit transcriptional regulatory networks using gene expression, priors, machine learning
Fit transcriptional regulatory networks using gene expression, priors, machine learning
GEM: fast association study for the interplay of Gene, Environment and Methylation
GEM: fast association study for the interplay of Gene, Environment and Methylation
GEM: fast association study for the interplay of Gene, Environment and Methylation
GEne Network Inference with Ensemble of trees
GEne Network Inference with Ensemble of trees
Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq
Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq
Gene Set Analysis Using the Outcome of Differential Methylation
Gene Set Analysis Using the Outcome of Differential Methylation
Gene Set Enrichment For ChIP-seq Peak Data
Gene Set Enrichment For ChIP-seq Peak Data
Gene-Specific Phenotype EstimatoR
Gene-Specific Phenotype EstimatoR
Gene-Specific Phenotype EstimatoR
Genotype Imputed Gene Set Enrichment Analysis
Global Test for Counts
Global test for groups of variables via model comparisons
GUI for limma package with Affymetrix microarrays
GUI for limma Package with Affymetrix Microarrays
GUI for limma package with two color microarrays
GUI for limma Package With Two Color Microarrays
GWAS-based Mendelian Randomization and Path Analyses
GWAS-based Mendelian Randomization and Path Analyses
GWAS-based Mendelian Randomization and Path Analyses
gwasurvivr: an R package for genome wide survival analysis
gwasurvivr: an R package for genome wide survival analysis
Hierarchical Inference
Identification of genetic Variants affecting Alternative Splicing
Identification of genetic Variants affecting Alternative Splicing
Inferring metabolic networks from untargeted high-resolution mass spectrometry data
Integrative analysis of Multi-omics data for Alternative Splicing
Integrative analysis of Multi-omics data for Alternative Splicing
Integrative analysis of Multi-omics data for Alternative Splicing
Kernel-Based Analysis Of Biological Sequences
Kernel-Based Analysis Of Biological Sequences
LEA: an R package for Landscape and Ecological Association Studies
LEA: an R package for Landscape and Ecological Association Studies
Linear Models for Microarray Data
Linear Models for Microarray Data
Maximum Likelihood Decay Modeling of RNA Degradation Data
Maximum Likelihood Decay Modeling of RNA Degradation Data
methylGSA: Gene Set Analysis Using the Outcome of Differential Methylation
Model higher-order methylation profiles
Model higher-order methylation profiles
Model higher-order methylation profiles
Model higher-order methylation profiles
Model higher-order methylation profiles
Modeling Network State Transitions from Expression and Regulatory data (MONSTER)
MoPS - Model-based Periodicity Screening
MoPS - Model-based Periodicity Screening
Negative Binomial Models to detect Differential Splicing
Network Centrality Metrics for Elastic-Net Regularized Models
Network-Regularized Regression Models
Optimal p-value weighting with independent information
Optimal p-value weighting with independent information
Optimal p-value weighting with independent information
Parallel Mixed Model
Parallel Mixed Model
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
PCA, PLS(-DA) and OPLS(-DA) for multivariate analysis and feature selection of omics data
Piecewise Linear Regression Splines (PLRS) for the association between DNA copy number and gene expression
Piecewise Linear Regression Splines (PLRS) for the association between DNA copy number and gene expression
Prediction of gestational age with Illumina HumanMethylation450 data
Prediction of gestational age with Illumina HumanMethylation450 data
Prediction of gestational age with Illumina HumanMethylation450 data
Prediction of gestational age with Illumina HumanMethylation450 data
Quantify and interpret divers of variation in multilevel gene expression experiments
Quantify and interpret divers of variation in multilevel gene expression experiments
Quantify and interpret divers of variation in multilevel gene expression experiments
Robust prediction of clinical outcomes using cytometry data without cell gating
Robust prediction of clinical outcomes using cytometry data without cell gating
R package for RIVER (RNA-Informed Variant Effect on Regulation)
R package for RIVER (RNA-Informed Variant Effect on Regulation)
R package for RIVER (RNA-Informed Variant Effect on Regulation)
R package for RIVER (RNA-Informed Variant Effect on Regulation)
rqt: utilities for gene-level meta-analysis
rqt: utilities for gene-level meta-analysis
rqt: utilities for gene-level meta-analysis
rqt: utilities for gene-level meta-analysis
SPADEVizR: an R package for Visualization, Analysis and Integration of SPADE results
Sparse Partial Correlations On Gene Expression
Sparse Partial Correlations On Gene Expression
SRGnet An R package for studying synergistic response genes from transcriptomics data
SRGnet: An R package for studying synergistic response to gene mutations from transcriptomics data from transcriptomics data
SRGnet: An R package for studying synergistic response to gene mutations from transcriptomics data from transcriptomics data
Statistical analysis for the Colony Formation Assay
Statistical analysis for the Colony Formation Assay
Statistical analysis for the Colony Formation Assay
Statistical Analysis of High-Throughput Genetic Perturbation Screens
Statistical Analysis of High-Throughput Genetic Perturbation Screens
Statistical Analysis of High-Throughput Genetic Perturbation Screens
Statistical Analysis of High-Throughput Genetic Perturbation Screens
Statistical Analysis of High-Throughput Genetic Perturbation Screens
Statistical Analysis of Metabolite Profile
Statistical Analysis of Metabolite Profile
Statistical Analysis of Metabolite Profile
Statistical Analysis of the GeneChip
Statistical Analysis of the GeneChip
Statistical Inference of Associations between Microbial Communities And host phenoTypes
Statistical Inference of Associations between Microbial Communities And host phenoTypes
Suite of Functions for Pooled Crispr Screen QC and Analysis
Suite of Functions for Pooled Crispr Screen QC and Analysis
Suite of Functions for Pooled Crispr Screen QC and Analysis
Summary Statistics-Based Multivariate Meta-Analysis of Genome-Wide Association Studies Using Canonical Correlation Analysis
Summary Statistics-Based Multivariate Meta-Analysis of Genome-Wide Association Studies Using Canonical Correlation Analysis
Switch-like differential expression across single-cell trajectories
Switch-like differential expression across single-cell trajectories
Switch-like differential expression across single-cell trajectories
Testing for association between RNA-Seq and high-dimensional data
Testing for association between RNA-Seq and high-dimensional data
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
Turn Bioconductor objects into tidy data frames
Turn Bioconductor objects into tidy data frames
Turn Bioconductor objects into tidy data frames
Using Gaussian graphical structue learning estimation in generalized least squared regression for multivariate normal regression
Variable Selection in Finite Mixture of AFT Regression and FMR