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archaeostat
ArchaeoPhases:Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling
Statistical analysis of archaeological dates and groups of dates. This package allows to post-process Markov Chain Monte Carlo (MCMC) simulations from 'ChronoModel' <https://chronomodel.com/>, 'Oxcal' <https://c14.arch.ox.ac.uk/oxcal.html> or 'BCal' <https://bcal.shef.ac.uk/>. It provides functions for the study of rhythms of the long term from the posterior distribution of a series of dates (tempo and activity plot). It also allows the estimation and visualization of time ranges from the posterior distribution of groups of dates (e.g. duration, transition and hiatus between successive phases) as described in Philippe and Vibet (2020) <doi:10.18637/jss.v093.c01>.
Maintained by Anne Philippe. Last updated 12 months ago.
archaeologybayesian-statisticsgeochronologymarkov-chainradiocarbon-dates
10 stars 6.90 score 66 scriptsbioc
bioassayR:Cross-target analysis of small molecule bioactivity
bioassayR is a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of high throughput screening fingerprints (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data.
Maintained by Thomas Girke. Last updated 5 months ago.
immunooncologymicrotitreplateassaycellbasedassaysvisualizationinfrastructuredataimportbioinformaticsproteomicsmetabolomics
5 stars 6.70 score 46 scripts