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Mohammed Baragilly on Muck Rack

Mohammed Baragilly

As seen in: Nature, BioRxiv, BJGP (British Journal of General Practice)
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Articles

A framework for evaluating the performance of SMLM cluster analysis algorithms - Nature Methods

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By Daniel J. Nieves, Jeremy Pike, David Williamson, Mohammed Baragilly, Daniel Sage
| Nature Verified
Abstract Single-molecule localization microscopy (SMLM) generates data in the form of coordinates of localized fluorophores. Cluster analysis is an attractive route for extracting biologically meaningful information from such data and has been widely applied. Despite a range of cluster analysis algorithms, there exists no consensus framework for the evaluation of their performance.
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Optimising a coordinate ascent algorithm for the meta-analysis of test accuracy studies

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By Mohammed Baragilly, Brian Willis
| BioRxiv
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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Clinical scores in primary care

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By Brian Willis, Of Birmingham, of Alabama Birmingham, of Alabama- Birmingham, Dyuti Coomar, Mohammed Baragilly
| BJGP (British Journal of General Practice) Verified
A clinical prediction rule represents a distillation of measurable features, usually by regression modelling. It helps standardise the approach to diagnosis and, in theory, should reduce variation in diagnosis and inappropriate prescribing. Our review compared Centor’s score with McIsaac’s score.1 These are the two most recommended prediction rules used for diagnosing GABHS-related pharyngitis in different national guidance.2,3 Although other scores such as Walsh’s …
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