Search Results for "input-leap"

The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.

PPICompare detects statistically significant rewiring events in protein-protein interaction networks - even if they are caused by alternative splicing - and reports plenty of information to that. The input data needs to be constructed with PPIXpress (see https://sourceforge.net/projects/ppixpress/). The original publication can be found on https://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-017-0400-x.

CamBA is a Linux package for statistical analysis, by script/GUI, of neuroimaging data (fMRI/sMRI), developed at the Brain Mapping Unit, University of Cambridge. Non-parametric permutation-based statistics. Input images: 4D NiFTI files, output: HTML/

...CDSS with rule based classification approaches, aid junior doctors and clinicians to diagnose and make reliable decisions. The results of an intradermal skin test is the input to the CDSS. The System predicts the presence or absence of ALLERGIC RHINITIS. The system is tailored to suit to the common allergens (inhalents and ingestants) prevalent in Chennai, South India. Intradermal Skin Test(IDST)data were collected from 872 patients who visited the Good Samaritan Kilpauk Lab and Allergy Testing Centre, Chennai, Tamilnadu, India.

Cancer registries need a tool to input, store, check and analyse their data. If these data are also coded and verified in a standard way, it facilitates the production of comparable analyses across registry populations. The main goal of the CanReg5 project is to provide a flexible and easy to use tool to accomplish these objectives. CanReg5 is a multi user, multi platform, open source tool to input, store, check and analyse cancer registry data.

GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy. The software can be used clinically to determine if observed nsSNPs are...

Evidence-based Guideline and Decision Support System. Provides patient specific point of care reminders in order to aid physicians provide high quality care. Input/output in the form of HL7 CDA Level 2 documents. Knowledge is encoded using Arden Syntax.