Search Results for "dissolution profiles comparison"
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Showing 8 open source projects for "dissolution profiles comparison"
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Population Shift Monitoring
Monitor the stability of a Pandas or Spark dataframe
popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets. popmon creates histograms of features binned in time-slices, and compares the stability of the profiles and distributions of those histograms using statistical tests, both over time and with respect to a reference. It works with numerical, ordinal, categorical features, and the histograms can be higher-dimensional, e.g. it can also track correlations between any two... -
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BioXTAS RAW
Processing and analysis of Small Angle X-ray Scattering (SAXS) data.
BioXTAS RAW is a program for analysis of Small-Angle X-ray Scattering (SAXS) data. The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS. It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis... -
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BEMoDA_shiny
Dissolution profile comparison tool
BEMoDA shiny v1.1 - BiowaivEr aid for Model Dependent-Independent Approach for in-vitro dissolution profile comparison. This is an User Interface (ui) application which implements in-vitro dissolution profile comparison. Please visit the page, https://github.com/jszlek/BEMoDA_shiny for more information on the application. In general the BEMoDA_shiny utilizes two approaches proposed by Tsong et al. in 1996 - model independent approach and by Sathe et al. in 1996 - model dependent approach. -
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BEMoDA
Dissolution profile comparison Model Dependent-Independent Approach
Dissolution profile comparison (Biowaiver aid) Model Dependent-Independent Approach scripts for in-vitro dissolution profile comparison as proposed by Sathe et al. in 1996 (Sathe PM, Tsong Y, Shah VP. In-vitro dissolution profile comparison: statistics and analysis, model dependent approach. Pharm Res. 1996 Dec;13(12):1799-803) and Tsong et al. in 1996 (Tsong Y, Hammerstrom T, Sathe P, Shah VP. (1996) Statistical Assessment of Mean Differences between Two Dissolution Data Sets, Drug Info. ... -
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COMPETENCY APPLICATION ONTOLOGY
This ontology aims to represent competencies within a CS School
This ontology aims to represent competencies within a computer science school in order to improve its competency location system by facilitating comparison between different profiles, comparison between a profile and a job description for example. This ontology provides unique definitions to all relevant concepts related to the application cited previously. The ontology is in French. -
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CloudMIG Xpress
Find the best suited cloud provider and deployment for your software
To reduce resource over and under-provisioning, software systems can be migrated to IaaS and PaaS-based cloud environments. However, aligning and optimizing existing software systems for a cloud computing foundation often involves substantial reengineering activities or at least an elaborated configuration during the migration. There exist various challenges that have to be addressed, for example, systematically comparing cloud environment candidates, checking the conformance with... -
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PhEq_bootstrap
FDA's f2 computation with bootstrap technique
This program was developed as a help in establishing pharmaceutical equivalence by use of FDA f2 coefficient. It was designed to help with f2 computation in cases when intra- and inter-batch variability is large, namely RSD>10%. The use of statistical bootstrap technique allows to implement confidence interval (CI) into the f2 coefficients resulting in overcoming of their major drawback in the original metrics. The algorithm provides possible “worst case scenario” of f2 values, thus... -
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Use SASSIE to generate and manipulate large numbers of molecular structures and then calculate the SAXS, SANS, and neutron reflectivity profiles from atomistic structures. Use for intrinsically disordered proteins. We need alpha-testers and developers.
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