Biocview "TimeCourse"

A Comprehensive R Package For Analyzing Quantitative Phosphoproteomics Data

Add-on to CellNOptR: Discretized time treatments

Analysis for short time-series data

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

Annotation and analysis of biological dynamical systems using flow cytometry

An R package for DiffCircaPipeline: A framework for multifaceted characterization of differential rhythmicity

An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms

An R Package for Time Course RNASeq Data Analysis

Artificial Components Detection of Differentially Expressed Genes

a statistical framework for differential pseudotime analysis in multiple single-cell RNA-seq samples

Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments

Breakpoint analysis of time-course expression data

Calculate growth-rate inhibition (GR) metrics

Cell OrderiNg by FluorEScence Signal

Clustering of Time Series Gene Expression data

CommunityAMARETTO: A Computational Tool for the Discovery of Shared and Distinct Regulatory Mechanisms Across Biological Systems

Construct nomograms for competing risk models

Coordinated Gene Activity in Pattern Sets

COVID-19 data resources and analysis tools

deltaGseg

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 for RNA-seq data through a robust variance component test

Differential expression analysis of longitudinal count data sets

Differential methylation anlsysis for bisulfite sequencing data

Discriminant Analysis for Evolutionary Inference

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

Find microbial interactions

Fit Penalised Generalised Least Squares models

Fitting cell population growth models

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

Linear Models for Microarray Data

LiquidAssociation

Maximum Likelihood Decay Modeling of RNA Degradation Data

Methylation array and sequencing spatial analysis methods

mirTarRnaSeq

Modeling RNA synthesis, processing and degradation with RNA-seq data

MoPS - Model-based Periodicity Screening

Multi-Omics Simulation (MOSim)

Multi-Omics (time-course) network-based integration and interpretation

Network reverse engineering from time course data.

ODE add-on to CellNOptR

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

Reconstruction, visualization and analysis of branching trajectories

Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression

R framework for exploration and analysis of respirometry data

Rhythmicity Analysis Incorporating Non-parametric Methods

R Normalization and Inference of Time Series data

Robust statistical inference for quantitative LC-MS proteomics

Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell RNA-sequencing Applications

Significance of periodic expression pattern in time-series data

Significant Gene Expression Profile Differences in Time Course Gene Expression Data

Soft clustering of time series gene expression data

Software set for alignment of biological replicate 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 Multi-Omics data integration

Time course sequencing data analysis

Time sensitive microRNA-mRNA integration, analysis and network generation tool

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

trajectory-based differential expression analysis for sequencing data

Transcription factor Inference through Gaussian process Reconstruction of Expression

Visualise microarray and RNAseq data using gene ontology annotations

Wavelet-Based Models for Tiling Array Transcriptome Analysis

Biocview "TimeCourse"

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