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Protein identification with deep learning: from abc to xyz.

, , , , и . CoRR, (2017)

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Counting Motifs in the Entire Biological Network from Noisy and Incomplete Data - (Extended Abstract)., , и . RECOMB, том 7821 из Lecture Notes in Computer Science, стр. 269-270. Springer, (2013)DeepIso: A Deep Learning Model for Peptide Feature Detection., , , , , и . CoRR, (2018)AMAS: Optimizing the Partition and Filtration of Adaptive Seeds to Speed up Read Mapping., и . IEEE ACM Trans. Comput. Biol. Bioinform., 13 (4): 623-633 (2016)Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines., , , , , и . Nat. Mach. Intell., 2 (12): 764-771 (2020)De novo peptide sequencing by deep learning., , , , и . Proc. Natl. Acad. Sci. USA, 114 (31): 8247-8252 (2017)Efficient Verifiable Computation of Linear and Quadratic Functions over Encrypted Data., , и . AsiaCCS, стр. 605-616. ACM, (2016)Hybrid privacy-preserving clinical decision support system in fog-cloud computing., , , , и . Future Gener. Comput. Syst., (2018)Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices., , , , , , и . Nat. Mach. Intell., 3 (5): 420-425 (2021)AMAS: optimizing the partition and filtration of adaptive seeds to speed up read mapping., и . CoRR, (2015)Protein identification with deep learning: from abc to xyz., , , , и . CoRR, (2017)