Showing 3 open source projects for "statistic"

View related business solutions
  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
    Try Free
  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
    Try free now
  • 1
    VANTED
    VANTED - Visualization and Analysis of NeTworks containing Experimental Data At SourceForge the VANTED development history is preserved, only limited amount of development will proceed here. Please head on to the most recent developments, which can be observed at www.vanted.org.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    DeDAY

    DeDAY

    MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.

    ...Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise. DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters. DeDAY is free for academic users.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    RNAseqR

    RNA-seq expression analysis tool

    ...With GUI and command line interfaces, it can do log, PPM, and/or RPKM (if lengths provided) transformations, as well as, statistical analysis for differential expression, using the negative binomial cumulative distribution function (CDF) or the R test statistic introduced for EST analysis by Stekel, et al. Output allows for decisions based on CDF probabilities, top R values, or comparison of R values with randomized data. Comparisons are the believability metric of Stekel et al, or observed vs expected R at a given mean expression. Randomization is through Poisson or negative binomial distributions, or column shuffling.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB