3 citations · 5 across the 3 of their papers we have counts for
4 papers
BSNMani: Bayesian Scalar-on-network Regression with Manifold Learning
Yijun Li, Ki Sueng Choi, Boadie W. Dunlop +5
Brain connectivity analysis is crucial for understanding brain structure and neurological function, shedding light on the mechanisms of mental illness. To study the association bet…
Challenges and perspectives in computational deconvolution of genomics data
Lana X. Garmire, Yijun Li, Qianhui Huang +6
Deciphering cell type heterogeneity is crucial for systematically understanding tissue homeostasis and its dysregulation in diseases. Computational deconvolution is an efficient ap…
Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis
Yijun Li, Stefan Stanojevic, Lana X. Garmire
Spatial transcriptomics (ST) has advanced significantly in the last few years. Such advancement comes with the urgent need for novel computational methods to handle the unique chal…
ASGARD: A Single-cell Guided pipeline to Aid Repurposing of Drugs
Bing He, Yao Xiao, Haodong Liang +6
Intercellular heterogeneity is a major obstacle to successful precision medicine. Single-cell RNA sequencing (scRNA-seq) technology has enabled in-depth analysis of intercellular h…