Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.
Explore these studies to deepen your understanding of the subject.
HIDDEN: a machine learning method for detection of disease-relevant populations in case-control single-cell transcriptomics data
A. Goeva, M. Dolan, et al.
The single-cell transcriptomic atlas iPain identifies senescence of nociceptors as a therapeutical target for chronic pain treatment
P. Techameena, X. Feng, et al.
Single-cell analysis of two severe COVID-19 patients reveals a monocyte-associated and tocilizumab-responding cytokine storm
C. Guo, H. Ma, et al.
Single-cell sequencing unveils key contributions of immune cell populations in cancer-associated adipose wasting
J. Han, Y. Wang, et al.
