• Lin, S., Scholtens, D., Datta, S. (2022) Bioinformatics Methods: From Microarrays to Next-Generation Sequencing. CRC Press.

Some Recent Papers
Note: You may need to be a subscriber to access the electronic versions of some of the journals. If you would like to have a copy of a particular article by e-mail, please feel free to email me.

• Han, C., Park, J., Lin, S. (2022) BCurve: Bayesian Curve Credible Bands Approach for Detection of Differentially Methylated Regions. In DNA Methylation (Ed: Weihua Guan), Methods in Molecular Biology, 2432,167-185.


• Xie, Q., Han, C., Jin, V., Lin, S. (2022) HiCImpute: A Bayesian Hierarchical Model for Identifying Structural Zeros and Enhancing Single Cell Hi-C Data. PLOS Computational Biology, 18, e1010129.


• Chen, Q., Song, C., Lin, S. (2022) An Adaptive and Robust Test for Microbial Community Analysis. Frontiers in Genetics, 19 May 2022. https://doi.org/10.3389/fgene.2022.846258


• Turkmen, A., Lin, S. (2021) Detecting X-linked common and rare variant effects in family-based sequencing studies. Genetic Epidemiology, 45, 36-45.


• Han, C., Xie, Q., Lin, S. (2021) Are dropout imputation methods for scRNA-seq effective for scHi-C data? Briefings in Bioinformatics}, 22(4): bbaa289.


• Kim, M., Lin, S. (2020) Characterization of histone modification patterns and prediction of novel promoters using functional principal component analysis. PLoS ONE, 5(5):e0233630.


• Zhou, X., Wang, M., Lin, S. (2020) Detecting Rare Haplotypes Associated with Complex Diseases Using Both Population and Family Data: Combined Logistic Bayesian Lasso. Statistical Methods in Medical Research, 29, 3340-3350.


• \item Zhang, F., Lin, S. (2020) Incorporating Information from Markers in LD with Test Locus for Detecting Imprinting and Maternal Effects. European Journal of Human Genetics, 28, 1087-1097.


• Zhou, Y., Cheng, X., Yang, Y., Li, T., Li, J., Huang, T., Wang, J., Lin, S., Jin, V. (2020) Modeling and analysis of Hi-C data by HiSIF identifies characteristic promoter-distal loops. Genome Medicine, Article number: 69


• Wu, H., Jay, L., Masias, C., Lin, S., Han, C., Yang, S., and Cataland, S.R. (2020) Interrelationship Between ADAMTS13 Activity, Von Willebrand Factor, and Complement Activation in Remission from Immune-Mediated TTP. British Journal of Haematology, 189, e1-e30.


• Joshua J. Joseph, Xiaofei Zhou, Mihail Zilbermint, Constantine A. Stratakis,, Fabio R. Faucz, Maya B. Lodish, Annabel Berthon, James G. Wilson, Willa A. Hsueh, Sherita H. Golden, and Shili Lin (2020) The Association of ARMC5 with the Renin-Angiotensin-Aldosterone System, Blood Pressure and Glycemia in African Americans. Supplementary Materials
  
  
• Hansen, K., Siegmund, K., Lin, S. (2019) Chapter 33: DNA Methylation, 933-948. In: Handbook of Statistical Genomics (4th Edition). Ed: David Balding, Ida Moltke, and John Marioni. John Wiley & Sons.
  
  
• Shokoohi, F., Khalili, A., Asgharian, M., and Lin, S. (2019) Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates. Annals of Applied Statistics, 13, 444-465.
  
  
• Zhang, F., Khalili,A., and Lin, S. (2019) Imprinting and Maternal Effect Detection Using Partial Likelihood Based on Discordant Sibpair Data. Statistica Sinica, 29, 1915-1937.
  
  
• Datta, A., Biswas, S., and Lin S. (2019) A Family-Based Rare Haplotype Association Method for Quantitative Traits. Human Heredity, 83:175-195.
  
  
• Park, J. and Lin, S. (2019) Evaluation and Comparison of Methods for Recapitulation of 3D Spatial Chromatin Structures. Briengs in Bioinformatics, 20, 1205-1214.


• Zhou, Y., Gerrard, D., Wang, J., Li, T., Yang, Y., Fritz, A., Rajendran, M., Lin, S., Frietze, S., Schiff, R., Jin, V. (2019) Temporal dynamic reorganization of 3D chromatin architecture in hormone-induced breast cancer and endocrine resistance. {\em Nature Communications}, {\bf 10}, Article number: 1522.