All software
simplifyEnrichment
A new clustering algorithm, "binary cut", for clustering similarity matrices of functional terms is implemeted in this package. It also provides functions for visualizing, summarizing and comparing the clusterings.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- CSS
EnrichedHeatmap
Enriched heatmap is a special type of heatmap which visualizes the enrichment of genomic signals on specific target regions. The EnrichedHeatmap package provides advanced solutions for normalizing genomic signals within target regions as well as offering highly customizable visualizations.
- Data analysis
- Data Visualization
- FAIR Data
- + 2
- R
- CSS
- C++
MIRP
MIRP is a python package for quantitative analysis of medical images. It focuses on processing images for integration with radiomics workflows. These workflows either use quantitative features computed using MIRP, or directly use MIRP to process images as input for deep learning models.
- Medical Image Processing
- python
- radiomics
- Python
- Jupyter Notebook
- R
- + 2
svnecR
Easily calculate precession and obliquity from an astronomical solution and assumed or reconstructed values for dynamical ellipticity (Ed) and tidal dissipation (Td). This is a translation and adaptation of the C-code in Zeebe and Lourens (2022), with further details in Zeebe (2022).
- astronomical solution
- cyclostratigraphy
- dynamical ellipticity
- + 12
- R
- Rez
CoMOLA
CoMOLA is a python tool for optimal spatial allocation of land uses. The tool creates optimal land-use maps for up to four objectives. It takes into account constraints and can be coupled with external models to evaluate different objectives (e.g. ecosystem services/biodiversity models)
- land-use allocation
- multi-objective optimization
- NSGA-II
- Python
- R
BridgeDb Java
Java library for identifier mapping
- Data
- persistent identifiers
- Batchfile
- CSS
- HTML
- + 5
rGREAT
GREAT is a type of functional enrichment analysis directly performed on genomic regions. This package implements the GREAT algorithm, also it supports directly interacting with the GREAT web service (the online GREAT analysis). Both analysis can be viewed by a Shiny application.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- C++
multiGSEA
The multiGSEA R package was designed to run a robust GSEA-based pathway enrichment for multiple omics layers. The enrichment is calculated for each omics layer separately and aggregated p-values are calculated afterwards to derive a composite multi-omics pathway enrichment.
- Data analysis
- Enrichment Analysis
- FAIR Data
- + 2
- R
- TeX
ArrayAnalysis
ArrayAnalysis provides a user-friendly solution for transcriptomic data analysis. It allows researchers, regardless of their bioinformatics expertise, to efficiently analyse, explore, and interpret RNA sequencing and microarray datasets.
- Data Analysis
- data visualization
- microarray
- + 2
- Batchfile
- HTML
- Inno Setup
- + 2
dataquieR
dataquieR is an R package designed to conduct automated and standardized data quality assessments. It can be applied to all sorts of tabular data. Spreadsheet-type metadata can be used to specify descriptions, expectations, and requirements about the data.
- Cohort studies
- data quality
- data quality assessment
- + 11
- R
- JavaScript
- CSS
- + 1
splithalfr
Estimates split-half reliabilities for scoring algorithms of cognitive tasks and questionnaires.
- Cognitive tasks
- Confounding effects
- Non-linear scoring algorithms
- + 1
- R
DeepRank
Deep learning framework for data mining protein-protein interactions using CNN
- Big data
- Machine learning
- Optimized data handling
- C
- Makefile
- Python
- + 2