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Recognizing drosha processing sites by a two-step prediction model with structure and sequence information.

, , and . BIBM, page 1-4. IEEE Computer Society, (2012)

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Identification of true EST alignments for recognising transcribed regions., , , , and . IJDMB, 5 (5): 465-484 (2011)Exploring feature sets for two-phase biomedical named entity recognition using semi-CRFs., and . Knowl. Inf. Syst., 40 (2): 439-453 (2014)Two-phase biomedical named entity recognition based on semi-CRFs., and . BIC-TA, page 1061-1065. IEEE, (2010)Human influenza: a virus classification using a probabilistic neural network., , and . Kybernetes, 37 (9/10): 1425-1430 (2008)Functional similarities between microRNAs inferred from biomedical texts., , , , , and . IJDMB, 15 (3): 233-249 (2016)Detecting bursty events in collaborative tagging systems., , , and . ICDE, page 780-783. IEEE Computer Society, (2010)Identifying transcription factor targets using enhanced Bayesian classifier., , and . Computational Biology and Chemistry, 31 (5-6): 355-360 (2007)Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information., , , , , , , , and . Neural Networks, (2019)Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion., , , , , and . Front. Neuroinform., (2018)Accurately Predicting Transcription Start Sites Using Logitlinear Model and Local Oligonucleotide Frequencies., , , , and . ICIC (3), volume 6840 of Lecture Notes in Computer Science, page 107-114. Springer, (2011)