MHCSeqNet: a deep neural network model for universal MHC binding prediction

Overview of attention for article published in BMC Bioinformatics, May 2019

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@natashaloder 1.https://t.co/8dF6WLspTt 2.https://t.co/tyubN9E4u3 3.https://t.co/vdr6My8O9e 4.https://t.co/84Ksejx4nT 5.https://t.co/1MOo7PJ4Kc 6.https://t.co/qB9PPd5QJv 7.https://t.co/2xFlovO7Q0 Check out: MARIA, MIEP, AlphaFold, Scibert, DeepMind, DARPA

18 Jun 2020

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RT @lineagest: MHCSeqNet: a deep neural network model for universal MHC binding prediction https://t.co/cYiAKz6qn7

11 Jun 2019

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MHCSeqNet - a new open-source software that promises to predict peptide-major histocompatibility complex (MHC) binding affinity, improving the screening of effective neoepitopes in cancer vaccine development. https://t.co/XJCMsfhOY0 #BMCBioInformatics #imm

04 Jun 2019

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#NLP "MHCSeqNet: a deep neural network model for universal MHC binding prediction." https://t.co/aUKpnmLijf

30 May 2019

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