Biocview "TimeCourse"

A Comprehensive R Package For Analyzing Quantitative Phosphoproteomics Data
Add-on to CellNOptR: Discretized time treatments
Add-on to CellNOptR: Discretized time treatments
Analysis for short time-series data
Analysis for short time-series data
Analysis for short time-series data
Analysis of alternative splicing using RNA-Seq
Analysis of alternative splicing using RNA-Seq
Analysis of alternative splicing using RNA-Seq
An effective identification of alternative splicing events using junction arrays and RNA-Seq data
An effective identification of alternative splicing events using junction arrays and RNA-Seq data
Annotation and analysis of biological dynamical systems using flow cytometry
Annotation and analysis of biological dynamical systems using flow cytometry
An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms
An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms
An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms
Artificial Components Detection of Differentially Expressed Genes
Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments
Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments
Breakpoint analysis of time-course expression data
Breakpoint analysis of time-course expression data
Calculate growth-rate inhibition (GR) metrics
Calculate growth-rate inhibition (GR) metrics
Calculate growth-rate inhibition (GR) metrics
Cell OrderiNg by FluorEScence Signal
Clustering of Time Series Gene Expression data
Clustering of Time Series Gene Expression data
CommunityAMARETTO: A Computational Tool for the Discovery of Shared and Distinct Regulatory Mechanisms Across Biological Systems
Coordinated Gene Activity in Pattern Sets
Coordinated Gene Activity in Pattern Sets
deltaGseg
Detection of DE genes in time series data using impulse models
Detection of DE genes in time series data using impulse models
Differential expression analysis and model fitting for single-cell RNA-seq data
Differential expression analysis and model fitting for single-cell RNA-seq data
Differential Expression Analysis for RNA-seq data through a robust variance component test
Differential expression analysis of longitudinal count data sets
Differential expression analysis of longitudinal count data sets
Differential methylation anlsysis for bisulfite sequencing data
Differential methylation anlsysis for bisulfite sequencing data
Differential methylation anlsysis for bisulfite sequencing data
Dose Response Curve Evaluation from Incucyte and Other High-Throughput Platforms
Empirical Analysis of Digital Gene Expression Data in R
Extraction of Differential Gene Expression
Extraction of Differential Gene Expression
Extraction of Differential Gene Expression
Fitting cell population growth models
Fitting cell population growth models
Gaussian Process Ranking and Estimation of Gene Expression time-series
Gaussian Process Ranking and Estimation of Gene Expression time-series
Gene Regulatory Network Inference Using Time Series
GUI for limma Package with Affymetrix Microarrays
GUI for limma Package With Two Color Microarrays
HTSanalyzeR2: An R package for functional annotation, network analysis and time series analysis of high-throughput data
Identify differentially expressed genes in microarray time-course data
Illumina 450K methylation array spatial analysis methods
ImagingAMARETTO: tools for interpreting multi-omics networks for relevance to clinical outcomes and radiographic and histopathology imaging-derived biomarkers
Implementation of the differential equation model described in "Dynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assay"
Inference and visualisation of Single-Cell RNA-seq data as a hierarchical tree structure
Interactive Workflow for Discovering Rhythmicity in Biological Data
Interactive Workflow for Discovering Rhythmicity in Biological Data
Linear Models for Microarray Data
Linear Models for Microarray Data
LiquidAssociation
Maximum Likelihood Decay Modeling of RNA Degradation Data
Maximum Likelihood Decay Modeling of RNA Degradation Data
Methylation array and sequencing spatial analysis methods
Methylation array and sequencing spatial analysis methods
Methylation array and sequencing spatial analysis methods
microRNA-mRNA integration, analysis and network generation tool
Modeling RNA synthesis, processing and degradation with RNA-seq data
Modeling RNA synthesis, processing and degradation with RNA-seq data
MoPS - Model-based Periodicity Screening
Multi-Omics Simulation (MOSim)
Multi-Omics Simulation (MOSim)
Network reverse engineering from time course data.
ODE add-on to CellNOptR
Omics Longitudinal Differential Analysis
Omics Longitudinal Differential Analysis
Open-source toolkit to analyse data from xCELLigence System (RTCA)
Package for high-throughput data processing, outlier detection, noise removal and dynamic modeling
Package to work with miRNAs and miRNA targets with R
Protein Profiling
Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments
Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments
Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments
Reconstruction, visualization and analysis of branching trajectories
Reconstruction, visualization and analysis of branching trajectories
Reconstruction, visualization and analysis of branching trajectories
Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression
Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression
Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression
R framework for exploration and analysis of respirometry data
R framework for exploration and analysis of respirometry data
Rhythmicity Analysis Incorporating Non-parametric Methods
R Normalization and Inference of Time Series data
R Normalization and Inference of Time Series data
Significance of periodic expression pattern in time-series data
Significant Gene Expression Profile Differences in Time Course Gene Expression Data
Significant Gene Expression Profile Differences in Time Course Gene Expression Data
Soft clustering of time series gene expression data
Statistical Analysis for Developmental Microarray Time Course 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 Multi-Omics data integration
Time-Course Multi-Omics data integration
Time-Course Multi-Omics data integration
Time course sequencing data analysis
Time course sequencing data analysis
Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines
Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data
trajectory-based differential expression analysis for sequencing data
trajectory-based differential expression analysis for sequencing data
Transcription factor Inference through Gaussian process Reconstruction of Expression
Transcription factor Inference through Gaussian process Reconstruction of Expression
Visualise microarray and RNAseq data using gene ontology annotations
Visualise microarray and RNAseq data using gene ontology annotations
Visualise microarray and RNAseq data using gene ontology annotations
Visualise microarray and RNAseq data using gene ontology annotations
Wavelet-Based Models for Tiling Array Transcriptome Analysis
Wavelet-Based Models for Tiling Array Transcriptome Analysis