Junmin Wang

Jan 8, 2025 | biorxiv.org | Junmin Wang

AbstractIntegration of genomics data is routinely hindered by unwanted technical variations known as batch effects. Despite wide availability, existing batch correction methods often fall short in capturing the unique characteristics of DNA methylation data. We present ComBat-met, a beta regression framework to adjust batch effects in DNA methylation studies.

Aug 16, 2024 | biorxiv.org | Junmin Wang

AbstractIntegration of genomics data is routinely hindered by unwanted technical variations known as batch effects. Despite wide availability, existing batch correction methods often fall short in capturing the unique characteristics of DNA methylation data. We present ComBat-met, a beta regression framework to adjust batch effects in DNA methylation studies.

Aug 6, 2024 | onlinelibrary.wiley.com | Xi Liu |Junmin Wang |Jian Jin |Qiongqiong Hu

1 INTRODUCTION Immediately after the ischemic stroke (IS) onset, insufficient blood flow can trigger harmful events known as the ischemic cascade, ultimately leading to irreversible cell damage.

Nov 11, 2023 | academic.oup.com | Junmin Wang

The LINCS L1000 project has collected gene expression profiles for thousands of compounds across a wide array of concentrations, cell lines, and time points. However, conventional analysis methods often fall short in capturing the rich information encapsulated within the L1000 transcriptional dose-response data. We present DOSE-L1000, a database that unravels the potency and efficacy of compound-gene pairs and the intricate landscape of compound-induced transcriptional changes.