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Showing 4 open source projects for "mining"
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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OpenVigil
Open pharmacovigilance data extraction, mining and analysis tool
...FDA Adverse Event Reporting System (AERS) and other pharmacovigilance data (e.g., Canadian or German) are supported. The OpenVigil web-based analysis tools offer several analysis modes like extraction, filtering, mining of data and analyses via measurements of disproportionality like proportional reporting ratio or reporting odds ratios) and export to spreadsheets programs like Microsoft Excel or statistics programs like R. OpenVigil 1 operates on raw data, OpenVigil 2 on cleaned data (using drugbank.ca and drugs@FDA), OpenVigilFDA uses the official FDA online API. ... -
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GNAT
GNAT recognizes gene names in text and maps them to NCBI Entrez Gene
GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. -
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Microarray Explorer (MAExplorer) is a Java microarray data-mining bioinformatics program. It includes data management, graphics, statistics, clustering, reports, gene data-filtering, user written MAEPlugins, documentation, tutorials, demo data.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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