Olivier Poirion
Jackson Laboratory(US)
Publications by Year
Research Areas
Single-cell and spatial transcriptomics, Bioinformatics and Genomic Networks, Ferroptosis and cancer prognosis, Genomics and Chromatin Dynamics, Cancer Genomics and Diagnostics
Most-Cited Works
- → Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer(2017)1,041 cited
- → Comparative cellular analysis of motor cortex in human, marmoset and mouse(2021)793 cited
- → A single-cell atlas of chromatin accessibility in the human genome(2021)503 cited
- → Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics(2021)364 cited
- → A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex(2021)363 cited
- → DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data(2019)313 cited
- → DNA methylation atlas of the mouse brain at single-cell resolution(2021)299 cited
- → Integrated analyses of single-cell atlases reveal age, gender, and smoking status associations with cell type-specific expression of mediators of SARS-CoV-2 viral entry and highlights inflammatory programs in putative target cells(2020)267 cited
- → DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data(2021)261 cited
- → Single-cell multiomic profiling of human lungs reveals cell-type-specific and age-dynamic control of SARS-CoV2 host genes(2020)204 cited