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publications
Developmental variability and stability in continuous-time host–parasitoid models
Published in Theoretical Population Biology, 2010
Combining delay-differential equation modeling with distributed development time, we investigate how developmental variability in insect host–parasitoid systems influences ecological stability across random parasitism and negative binomial models.
Recommended citation: Xu, Dashun; Reeve, John D.; Wang, Xiuquan; Xiao, MingQing. 2010. "Developmental Variability and Stability in Continuous-Time Host–Parasitoid Models." Theoretical Population Biology 78, no. 1: 1–11. https://doi.org/10.1016/j.tpb.2010.03.007
Comprehensive network analysis reveals alternative splicing-related lncRNAs in hepatocellular carcinoma
Published in Frontiers in Genetics, 2020
By integrating RNA-seq analysis with a novel random walk-based network model, we identify key long non-coding RNAs (lncRNAs) associated with alternative splicing in hepatocellular carcinoma, revealing both known and novel lncRNA regulators with potential clinical significance.
Recommended citation: Wang J, Wang X, Bhat A, Chen Y, Xu K, Mo Y, Yi SS and Zhou Y (2020) Comprehensive Network Analysis Reveals Alternative Splicing-Related lncRNAs in Hepatocellular Carcinoma. Front. Genet. 11:659. https://doi.org/10.3389/fgene.2020.00659
Transformer‐based DNA methylation detection on ionic signals from Oxford Nanopore sequencing data
Published in Quantitative Biology, 2023
We apply Transformer architecture, a self-attention-based deep learning model, to detect DNA methylation from ionic signals generated by Oxford Nanopore sequencing. Using real E. coli and human genome datasets, we demonstrate that Transformers offer advantages over traditional CNN and RNN models in capturing long-range dependencies and contextual methylation signals.
Recommended citation: Xiuquan Wang, Mian Umair Ahsan, Yunyun Zhou, Kai Wang. Transformer-based DNA methylation detection on ionic signals from Oxford Nanopore sequencing data. Quant. Biol., 2023, 11(3): 287‒296. https://doi.org/10.15302/J-QB-022-0323
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Instructor
Undergraduate Course, Tougaloo College, 2020
CSC 383 Introduction to Numerical Analysis (2022-2025 Spring)
Adjunct Professor
Undergraduate/Pre-College Course, Brown University, 2022
CSCI 0535: Linear Algebra for Machine Learning (Undergraduate, 2022 Summer)