Xiuquan Wang

Xiuquan Wang

Tenured Associate Professor

Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

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

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)