Myeloid Progenitor Cells

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Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.

Nucleic acids research Nov 18, 2020
High-content imaging and single-cell genomics are two of the most prominent high-throughput technologies for studying cellular properties and functions at scale. Recent studies have demonstrated that information in large imaging datasets can be used ...
Humans Neural Networks, Computer Machine Learning Female Animals Male Gene Expression Profiling Transcriptome Single-Cell Analysis Image Processing, Computer-Assisted Mice Computational Biology Monocytes Databases, Genetic Mice, Inbred C57BL Flow Cytometry High-Throughput Nucleotide Sequencing Gene Expression Regulation Fetal Blood Myeloid Progenitor Cells
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Prospect of using deep learning for predicting differentiation of myeloid progenitor cells after sepsis.

Chinese medical journal Aug 5, 2019
Humans Deep Learning Sepsis Cell Differentiation Hematopoiesis Myeloid Progenitor Cells
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