Competitor analysis Competitor analysis is an essential component of corporate strategy.[2] It is argued that most firms do not conduct this type of analysis systematically enough. Instead, many enterprises operate on what is called “informal impressions, conjectures, and intuition gained through the tidbits of information about competitors every manager continually receives.” As a result, traditional environmental scanning places many firms at risk of dangerous competitive blindspots due to a lack of robust competitor analysis.[3] Competitor array[edit]
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INDI: inferring novel drug interactions INDI is a large scale method for prediction of pharmacokinetic (Cytochrome P450-related) and pharmacodynamic drug-drug interactions. INDI is based on the observation that similar pairs of drugs tend to form similar interactions, and utilizes multiple drug-drug similarity measures for the prediction task. Disclaimer: The results displayed on this web page are predicted drug-drug interactions. The prediction algorithm is described in the manuscript "INDI: A novel framework for inferring drug interactions and their associated recommendations", Molecular Systems Biology, 2012 8:592. openbiomind - A toolkit for analysis of gene expression, SNP and other biological datasets using advanced machine learning techniques OpenBiomind is a toolkit for analysis of gene expression, SNP and other biological datasets using advanced machine learning and pattern mining techniques, and includes traditional clustering, hybrid clustering, and other techniques. OpenBiomind is modular and command-line driven. Components communicate via standardized file formats. OpenBiomind commands cover: • Dataset enhancement, with information extracted from gene and protein ontologies, as well as other dataset treatments/transformations (such as feature selection and creation of validation folds) • Multiple classification model generation, for a given dataset using several modalities of GP.
Daden - About Datascape …a virtual world for your data Datascape provides an easy to use, install and manage immersive 3D environment in which users can visualise and interact with data from almost any source, from financial Excel spreadsheets to live social media feeds. The 3D environment significantly increases the amount of information that can be sensibly displayed, and the sense of immersion provide spatial cues which assist in maintaining orientation and identifying trends, clusters and anomalies with the data. PSPP Features[edit] This software provides a basic set of capabilities: frequencies, cross-tabs comparison of means (t-tests and one-way ANOVA); linear regression, logistic regression, reliability (Cronbach's Alpha, not failure or Weibull), and re-ordering data, non-parametric tests, factor analysis, cluster analysis, principal components analysis, chi-square analysis and more. At the user's choice, statistical output and graphics are available in ASCII, PDF, PostScript, SVG or HTML formats. A range of statistical graphs can be produced, such as histograms, pie-charts scree plots and np-charts.
Mac, Apache, MySQL, PHP MAMP installs a local server environment in a matter of seconds on your Mac OS X computer, be it MacBook or iMac. Like similar packages from the Windows- and Linux-world, MAMP comes free of charge, and is easily installed. MAMP will not compromise any existing Apache installation already running on your system.