AIMC Topic: Monocytes

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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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Distinct Transcriptional and Anti-Mycobacterial Profiles of Peripheral Blood Monocytes Dependent on the Ratio of Monocytes: Lymphocytes.

EBioMedicine Nov 1, 2015
The ratio of monocytes and lymphocytes (ML ratio) in peripheral blood is associated with tuberculosis and malaria disease risk and cancer and cardiovascular disease outcomes. We studied anti-mycobacterial function and the transcriptome of monocytes i...
Humans Female Young Adult Adult Male Gene Expression Profiling Transcriptome Protein Binding Monocytes Signal Transduction Transcription Factors Tuberculosis Lymphocytes Disease Susceptibility Binding Sites Leukocyte Count Interferons Disease Resistance Mycobacterium
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