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HELLO: improved neural network architectures and methodologies for small variant calling., , , и . BMC Bioinform., 22 (1): 404 (2021)A recurrent Markov state-space generative model for sequences., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 3070-3079. PMLR, (2019)Deep Phenotyping of Non-Alcoholic Fatty Liver Disease Patients with Genetic Factors for Insights into the Complex Disease., , , , , , , и . CoRR, (2023)LeafCutterMD: an algorithm for outlier splicing detection in rare diseases., , , , , и . Bioinform., 36 (17): 4609-4615 (2020)Recommendations for performance optimizations when using GATK3.8 and GATK4., , , , , , , , , и 5 other автор(ы). BMC Bioinform., 20 (1): 557:1-557:9 (2019)AMOD: a morpholino oligonucleotide selection tool., , , , и . Nucleic Acids Res., 33 (Web-Server-Issue): 506-511 (2005)Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016: Cadiz, KY, USA. 8-10 April 2016., , , , , , , , , и 70 other автор(ы). BMC Bioinform., (августа 2016)A supervised learning method for classifying methylation disorders., , , , , , , , , и 3 other автор(ы). BMC Bioinform., 25 (1): 66 (декабря 2024)Deep Learning for Better Variant Calling for Cancer Diagnosis and Treatment., , , , и . ASP-DAC, стр. 16-21. IEEE, (2018)Universally Rank Consistent Ordinal Regression in Neural Networks., , , , и . CoRR, (2021)