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Deep learning models for bacteria taxonomic classification of metagenomic data.

, , , , , , , and . BMC Bioinform., 19-S (7): 61-76 (2018)

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Integrated DB for Bioinformatics: A Case Study on Analysis of Functional Effect of MiRNA SNPs in Cancer., , , , , and . ITBAM, volume 9832 of Lecture Notes in Computer Science, page 214-222. Springer, (2016)Gremlin Language for Querying the BiographDB Integrated Biological Database., , , , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 303-313. (2017)MiRNA therapeutics based on logic circuits of biological pathways., , , , , and . BMC Bioinform., 20-S (9): 344:1-344:22 (2019)Deep learning models for bacteria taxonomic classification of metagenomic data., , , , , , , and . BMC Bioinform., 19-S (7): 61-76 (2018)GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data., , , , and . Briefings Bioinform., (September 2023)miRTissue ce: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions., , , , and . BMC Bioinform., 21-S (8): 199 (2020)A Problem-Driven Approach for Building a Bioinformatics GraphDB., , , , , and . CIBB, volume 10477 of Lecture Notes in Computer Science, page 134-144. Springer, (2016)nRC: non-coding RNA Classifier based on structural features., , , , and . BioData Min., 10 (1): 27:1-27:18 (2017)Analysis of miRNA expression profiles in breast cancer using biclustering., , , , and . BMC Bioinform., 16 (S-4): S7 (2015)MiRNATIP: a SOM-based miRNA-target interactions predictor., , , , and . BMC Bioinform., 17 (S-11): 321 (2016)