Daniel Osorio
Affiliations: | 2017-2021 | Texas A & M University, College Station, TX, United States |
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"Daniel Osorio"
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| Osorio D, Capasso A, Eckhardt SG, et al. (2024) Population-level comparisons of gene regulatory networks modeled on high-throughput single-cell transcriptomics data. Nature Computational Science |
| Steinhart MR, van der Valk WH, Osorio D, et al. (2023) Mapping oto-pharyngeal development in a human inner ear organoid model. Development (Cambridge, England). 150 |
| van der Valk WH, van Beelen ESA, Steinhart MR, et al. (2023) A single-cell level comparison of human inner ear organoids with the human cochlea and vestibular organs. Cell Reports. 42: 112623 |
| Osorio D, Zhong Y, Li G, et al. (2022) scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation. Patterns (New York, N.Y.). 3: 100434 |
| Xu Q, Li G, Osorio D, et al. (2022) scInTime: A Computational Method Leveraging Single-Cell Trajectory and Gene Regulatory Networks to Identify Master Regulators of Cellular Differentiation. Genes. 13 |
| Pinson MR, Chung DD, Mahnke AH, et al. (2022) Gag-like proteins: Novel mediators of prenatal alcohol exposure in neural development. Alcoholism, Clinical and Experimental Research |
| Yang Y, Osorio D, Davidson LA, et al. (2021) Single-cell RNA Sequencing Reveals How the Aryl Hydrocarbon Receptor Shapes Cellular Differentiation Potency in the Mouse Colon. Cancer Prevention Research (Philadelphia, Pa.) |
| Osorio D, Kuijjer ML, Cai JJ. (2021) rPanglaoDB: an R package to download and merge labeled single-cell RNA-seq data from the PanglaoDB database. Bioinformatics (Oxford, England) |
| Osorio D, Zhong Y, Li G, et al. (2020) scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell Data. Patterns (New York, N.Y.). 1: 100139 |
| Osorio D, Cai JJ. (2020) Systematic determination of the mitochondrial proportion in human and mice tissues for single-cell RNA sequencing data quality control. Bioinformatics (Oxford, England) |