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IsoAnalytics: A Single-cell Proteomics Web Server

Zhan, X.; Palmer, S.; Koh, A. Y.

2023-01-04 bioinformatics
10.1101/2023.01.03.522673 bioRxiv
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MotivationSingle-cell proteomics provide unprecedented resolution to examine biological processes. Customized data analysis and facile data visualization are crucial for scientific discovery. Further, userfriendly data analysis and visualization software that is easily accessible for the general scientific community is essential. ResultsWe have created a web server, IsoAnalytics, that gives users without computational or bioinformatics background the ability to directly analyze and interactively visualize data obtained from the Isoplexis single cell technology platform. We envision this open-sourced web server will increase research productivity and serve as a free, competitive alternative for single-cell proteomics research. ContactAndrew.Koh@utsouthwestern.edu and Xiaowei.Zhan@utsouthwestern.edu AvailabilityIsoAnalytics is free and available at: https://cdc.biohpc.swmed.edu/isoplexis/ and is implemented in Python, with all major browsers supported. Code for IsoAnalytics is free and available at: https://github.com/zhanxw/Isoplexis_Data_Analysis. Supplementary InformationSupplementary data are available at Bioinformatics online.

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The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.