Area of research
Molecular Biology · Cancer Research
Research interest
Research interests include Computer science, Biology, Data mining, Genetics, Computational biology, and Somatic cell.
Attention-Based Deep Learning Framework for Human Activity Recognition With User Adaptation
Permutation Strategies for Mining Significant Sequential Patterns
Hypothesis Testing and Statistically-sound Pattern Mining
Efficient Mining of the Most Significant Patterns with Permutation Testing
De novo pathway-based biomarker identification
Clustering uncertain graphs
Computational Methods for Characterizing Cancer Mutational Heterogeneity
Computational Pan-Genomics: Status, Promises and Challenges
Differentially Methylated Genomic Regions in Birth‐Weight Discordant Twin Pairs
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes
Mutational landscape and significance across 12 major cancer types
The mutational landscape of lethal castration-resistant prostate cancer
An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets