4 citations · 10 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Computational Methods for Single-Cell Multi-Omics Integration and Alignment
Stefan Stanojevic, Yijun Li, Lana X. Garmire
Recently developed technologies to generate single-cell genomic data have made a revolutionary impact in the field of biology. Multi-omics assays offer even greater opportunities t…