R-universe search: metaanalysis

Showing 9 of total 9 results (show query)

bioc

SurfR:Surface Protein Prediction and Identification

Identify Surface Protein coding genes from a list of candidates. Systematically download data from GEO and TCGA or use your own data. Perform DGE on bulk RNAseq data. Perform Meta-analysis. Descriptive enrichment analysis and plots.

Maintained by Aurora Maurizio. Last updated 2 days ago.

software sequencing rnaseq geneexpression transcription differentialexpression principalcomponent genesetenrichment pathways batcheffect functionalgenomics visualization dataimport functionalprediction geneprediction go dge enrichment-analysis metaanalysis plots proteins public-data surface surfaceome

10.0 match 3 stars 5.43 score 3 scripts

georgiosseitidis

ssifs:Stochastic Search Inconsistency Factor Selection

Evaluating the consistency assumption of Network Meta-Analysis both globally and locally in the Bayesian framework. Inconsistencies are located by applying Bayesian variable selection to the inconsistency factors. The implementation of the method is described by Seitidis et al. (2022) <arXiv:2211.07258>.

Maintained by Georgios Seitidis. Last updated 2 months ago.

consistency metaanalysis network nma ssifs ssvs variable-selection jags cpp

10.0 match 2 stars 5.08 score 4 scripts

plangfelder

WGCNA:Weighted Correlation Network Analysis

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Maintained by Peter Langfelder. Last updated 6 months ago.

cpp

3.0 match 54 stars 9.65 score 5.3k scripts 32 dependents

lechmadeyski

reproducer:Reproduce Statistical Analyses and Meta-Analyses

Includes data analysis and meta-analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for AB/BA cross-over repeated-measures experimental designs), data presentation functions (e.g., density curve overlaid on histogram),and the data sets analyzed in different research papers in software engineering (e.g., related to software defect prediction or multi- site experiment concerning the extent to which structured abstracts were clearer and more complete than conventional abstracts) to streamline reproducible research in software engineering.

Maintained by Lech Madeyski. Last updated 1 years ago.

7.5 match 3.50 score 63 scripts

annelyng

RTSA:'Trial Sequential Analysis' for Error Control and Inference in Sequential Meta-Analyses

Frequentist sequential meta-analysis based on 'Trial Sequential Analysis' (TSA) in programmed in Java by the Copenhagen Trial Unit (CTU). The primary function is the calculation of group sequential designs for meta-analysis to be used for planning and analysis of both prospective and retrospective sequential meta-analyses to preserve type-I-error control under sequential testing. 'RTSA' includes tools for sample size and trial size calculation for meta-analysis and core meta-analyses methods such as fixed-effect and random-effects models and forest plots. TSA is described in Wetterslev et. al (2008) <doi:10.1016/j.jclinepi.2007.03.013>. The methods for deriving the group sequential designs are based on Jennison and Turnbull (1999, ISBN:9780849303166).

Maintained by Anne Lyngholm Soerensen. Last updated 7 months ago.

cpp

5.0 match 1 stars 3.32 score 21 scripts

bioc

GeneMeta:MetaAnalysis for High Throughput Experiments

A collection of meta-analysis tools for analysing high throughput experimental data

Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.

sequencing geneexpression microarray

3.1 match 4.78 score 2 scripts 1 dependents

bioc

MetaCyto:MetaCyto: A package for meta-analysis of cytometry data

This package provides functions for preprocessing, automated gating and meta-analysis of cytometry data. It also provides functions that facilitate the collection of cytometry data from the ImmPort database.

Maintained by Zicheng Hu. Last updated 5 months ago.

immunooncology cellbiology flowcytometry clustering statisticalmethod software cellbasedassays preprocessing

3.0 match 4.73 score 18 scripts

google

imt:Impact Measurement Toolkit

A toolkit for causal inference in experimental and observational studies. Implements various simple Bayesian models including linear, negative binomial, and logistic regression for impact estimation. Provides functionality for randomization and checking baseline equivalence in experimental designs. The package aims to simplify the process of impact measurement for researchers and analysts across different fields. Examples and detailed usage instructions are available at <https://book.martinez.fyi>.

Maintained by Ignacio Martinez. Last updated 5 months ago.

cpp

3.0 match 3 stars 3.88 score 6 scripts

cran

MultiPhen:A Package to Test for Multi-Trait Association

Performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).

Maintained by Lachlan Coin. Last updated 5 years ago.

3.0 match 3.70 score