Showing 5 of total 5 results (show query)
bioc
pRoloc:A unifying bioinformatics framework for spatial proteomics
The pRoloc package implements machine learning and visualisation methods for the analysis and interogation of quantitiative mass spectrometry data to reliably infer protein sub-cellular localisation.
Maintained by Lisa Breckels. Last updated 2 days ago.
immunooncologyproteomicsmassspectrometryclassificationclusteringqualitycontrolbioconductorproteomics-dataspatial-proteomicsvisualisationopenblascpp
15 stars 10.31 score 101 scripts 2 dependents
cran
convevol:Analysis of Convergent Evolution
Quantifies and assesses the significance of convergent evolution using multiple methods and measures as described in Stayton (2015) <DOI: 10.1111/evo.12729> and Grossnickle et al. 2023. Also displays results in various ways.
Maintained by C. Tristan Stayton. Last updated 8 months ago.
3.30 score
radivot
SEERaBomb:SEER and Atomic Bomb Survivor Data Analysis Tools
Creates SEER (Surveillance, Epidemiology and End Results) and A-bomb data binaries from ASCII sources and provides tools for estimating SEER second cancer risks. Methods are described in <doi:10.1038/leu.2015.258>.
Maintained by Tomas Radivoyevitch. Last updated 5 years ago.
2.85 score 176 scripts
lm186
MRS:Multi-Resolution Scanning for Cross-Sample Differences
An implementation of the MRS algorithm for comparison across distributions, as described in Jacopo Soriano, Li Ma (2017) <doi:10.1111/rssb.12180>. The model is based on a nonparametric process taking the form of a Markov model that transitions between a "null" and an "alternative" state on a multi-resolution partition tree of the sample space. MRS effectively detects and characterizes a variety of underlying differences. These differences can be visualized using several plotting functions.
Maintained by Li Ma. Last updated 1 years ago.
2.00 score 7 scripts