2 citations · 3 across the 5 of their papers we have counts for
7 papers
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…
Blood-derived lncRNAs as potential biomarkers for early cancer diagnosis: The Good, the Bad and the Beauty
Cedric Badowski, Bing He, Lana X Garmire
Cancer ranks as one of the deadliest diseases worldwide. The high mortality rate associated with cancer is partially due to the lack of reliable early detection methods and/or inac…
Strategies to integrate multi-omics data for patient survival prediction
Lana X Garmire
Genomics, especially multi-omics, has made precision medicine feasible. The completion and publicly accessible multi-omics resource with clinical outcome, such as The Cancer Genome…
Single Cell Transcriptome Research in Human Placenta
Hui Li, Qianhui Huang, Yu Liu +1
Human placenta is a complex and heterogeneous organ interfacing between the mother and the fetus that supports fetal development. Alterations to placental structural components are…
Prediction of repurposed drugs for treating lung injury in COVID-19
Bing He, Lana Garmire
Coronavirus disease (COVID-19) is an infectious disease discovered in 2019 and currently in outbreak across the world. Lung injury with severe respiratory failure is the leading ca…