Algorithm expands what scientists can uncover from individual cells
A new software tool can help researchers further utilize single-cell RNA sequencing data to learn more about individual cells by incorporating biologically relevant data into the analysis. The machine-learning algorithm, detailed in Genome Research on June 30, can be used to predict which transcription factors are most active in individual cells. Read More
New in vitro models offer effective way to study respiratory viruses
A new accessible and scalable protocol for manufacturing in vitro lung cell models could have applications in the development of new therapies for respiratory viral infections and drug toxicology studies on human lungs. Details about the protocol were published in Stem Cells on June 21. Read More
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