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PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning.

, , , , , , and . Comput. Biol. Medicine, (2023)

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NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides., , , , , und . Comput. Biol. Medicine, (2022)PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning., , , , , und . Comput. Biol. Medicine, (May 2023)Designing predictors of halophilic and non-halophilic proteins using support vector machines., , , , und . CIBCB, Seite 230-237. IEEE, (2013)Predicting protein crystallization using a simple scoring card method., , , , , und . CIBCB, Seite 23-30. IEEE, (2013)DNA Microarray Data Clustering by Hidden Markov Models and Bayesian Information Criterion., , , , und . ADMA, Volume 4093 von Lecture Notes in Computer Science, Seite 827-834. Springer, (2006)PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning., , , , , , und . Comput. Biol. Medicine, (2023)Prediction of Mouse Senescence from HE-Stain Liver Images Using an Ensemble SVM Classifier., , , , , und . ACIIDS (2), Volume 7803 von Lecture Notes in Computer Science, Seite 325-334. Springer, (2013)StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors., , , , , und . J. Comput. Aided Mol. Des., 35 (10): 1037-1053 (2021)ThaiFBDeep: A Sentimental Analysis Using Deep Learning Combined with Bag-of-Words Features on Thai Facebook Data.. IIAI-AAI, Seite 565-569. IEEE, (2018)BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides., , , , und . Bioinform., 37 (17): 2556-2562 (2021)