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Integrative analysis of time course microarray data and DNA sequence data via log-linear models for identifying dynamic transcriptional regulatory networks.

, , , and . IJDMB, 7 (1): 38-57 (2013)

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Log-linear model-based multifactor dimensionality reduction method to detect gene-gene interactions., , , , and . Bioinformatics, 23 (19): 2589-2595 (2007)Identifying differential expression for RNA-seq data with no replication., and . BIBM Workshops, page 847-851. IEEE Computer Society, (2012)A data aggregation framework for cancer subtype discovery., , , , , and . BIBM Workshops, page 844-846. IEEE Computer Society, (2012)Comparative studies for developing protein based cancer prediction model to maximise the ROC-AUC with various variable selection methods., , , , , , , , , and 3 other author(s). IJDMB, 16 (1): 64-76 (2016)Evaluation of normalization methods for microarray data., , , , , and . BMC Bioinformatics, (2003)CyCADA: Cycle-Consistent Adversarial Domain Adaptation., , , , , , , and . CoRR, (2017)Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data., , , , , , and . BIBM, page 1748-1752. IEEE Computer Society, (2018)A post-hoc genome-wide association study using matched samples., , , , and . IJDMB, 14 (3): 197-209 (2016)Identifying disease candidate genes via large-scale gene network analysis., , and . IJDMB, 10 (2): 175-188 (2014)Topological data analysis can extract sub-groups with high incidence rates of Type 2 diabetes., , , , , , , and . IJDMB, 22 (1): 44-60 (2019)