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HIDDEN: a machine learning method for detection of disease-relevant populations in case-control single-cell transcriptomics data

Medicine and Health

HIDDEN: a machine learning method for detection of disease-relevant populations in case-control single-cell transcriptomics data

A. Goeva, M. Dolan, et al.

Discover how HIDDEN, a groundbreaking computational method developed by Aleksandrina Goeva and colleagues at the Broad Institute, transforms traditional single-cell RNA-seq studies. By accurately discerning affected cells, HIDDEN enhances our understanding of malignancy in early-stage samples and uncovers critical insights into blood-brain barrier dysfunction.

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