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SocialWhois » Home Page 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: International Network for Social Network Analysis s Free iPhone app! Your Fitbit One is always tracking, even when the display is asleep. Press the button to view your stats. Your flower will grow and shrink, depending on how active you've been recently. Calories burned includes resting calories and calories from activity.
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. The manuscript affiliated researchers and Tel Aviv University shall not be liable for any damage, claim, demand, cost or expense of whatsoever kind or nature directly or indirectly arising out of or resulting from or encountered in connection with the use of this web site by any person using it.
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. PSPP can import Gnumeric and OpenDocument spreadsheets, Postgres databases, comma-separated values and ASCII files. It can export files in the SPSS 'portable' and 'system' file formats and to ASCII files.
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