Victor Greiff Archives - iReceptor Plus https://www.ireceptor-plus.com/tag/victor-greiff/ Sharing AIRR Seq Data Tue, 13 Apr 2021 13:40:58 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://www.ireceptor-plus.com/wp-content/uploads/2019/01/favicon-new-150x150.jpg Victor Greiff Archives - iReceptor Plus https://www.ireceptor-plus.com/tag/victor-greiff/ 32 32 iReceptor Plus partners leverage 3D-derived vocabulary to demonstrate predictability of antibody-antigen binding https://www.ireceptor-plus.com/ireceptor-plus-partners-leverage-3d-derived-vocabulary-to-demonstrate-predictability-of-antibody-antigen-binding/ Tue, 13 Apr 2021 13:05:49 +0000 https://www.ireceptor-plus.com/?p=2064 iR+ partners, Victor Greiff and Andrei Slabodkin of UiO, show that a compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding, in a new paper published at Cell Reports.

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]]> iReceptor Plus partners release immuneML, a platform for machine learning analysis of adaptive immune receptor repertoires https://www.ireceptor-plus.com/ireceptor-plus-partners-release-immuneml-a-platform-for-machine-learning-analysis-of-adaptive-immune-receptor-repertoires/ Wed, 24 Mar 2021 10:37:52 +0000 https://www.ireceptor-plus.com/?p=2039 Research entitled “Mining adaptive immune receptor repertoires for biological and clinical information using machine learning” has been published in the journal Current Opinion in Systems Biology by three iR+ partners.

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]]> iReceptor Plus partners published a review article on mining AIRRs for biological and clinical information using machine learning https://www.ireceptor-plus.com/ireceptor-plus-partners-published-a-review-article-on-mining-airrs-for-biological-and-clinical-information-using-machine-learning/ Tue, 26 Jan 2021 10:30:13 +0000 https://www.ireceptor-plus.com/?p=1964 Research entitled “Mining adaptive immune receptor repertoires for biological and clinical information using machine learning” has been published in the journal Current Opinion in Systems Biology by three iR+ partners.

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