Showing 3 open source projects for "bayesian python"

View related business solutions
  • No-code email and landing page creation Icon
    No-code email and landing page creation

    Make campaign creation fast and easy with Knak

    Built for speed and collaboration, Knak streamlines campaign production with modular templates, real-time editing, simple collaboration, and seamless integrations with leading MAPs like Adobe Marketo Engage, Salesforce Marketing Cloud, Oracle Eloqua, and more. Whether you're supporting global teams or launching fast-turn campaigns, Knak helps you go from brief to build in minutes—not weeks. Say goodbye to bottlenecks and hello to marketing agility.
    Learn More
  • Caller ID Reputation provides the most comprehensive view of your caller ID scores across all carriers Icon
    Caller ID Reputation provides the most comprehensive view of your caller ID scores across all carriers

    Instantly identify flagged caller IDs and decrease flags by up to 95% your first month.

    Keep your agents on the phone with increased connection rates by monitoring your phone number reputation across all major carriers and call blocking apps.
    Learn More
  • 1
    DEBay

    DEBay

    Deconvolutes qPCR data to estimate cell-type-specific gene expression

    DEBay: Deconvolution of Ensemble through Bayes-approach DEBay estimates cell type-specific gene expression by deconvolution of quantitative PCR data of a mixed population. It will be useful in experiments where the segregation of different cell types in a sample is arduous, but the proportion of different cell types in the sample can be measured. DEBay uses the population distribution data and the qPCR data to calculate the relative expression of the target gene in different cell types in...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    BayesRate

    BayesRate

    Bayesian estimation of diversification rates

    BayesRate is a program to estimate speciation and extinction rates from dated phylogenies in a Bayesian framework. The methods are described in: Silvestro, D., Schnitzler, J. and Zizka, G. (2011) A Bayesian framework to estimate diversification rates and their variation through time and space. BMC Evolutionary Biology, 11, 311 Silvestro D., Zizka G. & Schulte K. (2014) Disentangling the effects of key innovations on the diversification of Bromelioideae (Bromeliaceae). Evolution, 68, 163-175.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    A python/C++ framework for Bayesian phylogenetic analysis.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB