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Trends in Neurosciences|March 27, 2018
Continuous Variation within Cell Types of the Nervous SystemMark S Cembrowski, Vilas MenonJournal of Neuroscience Methods|July 29, 2019
Single-cell transcriptomics as a framework and roadmap for understanding the brainMark S CembrowskiMethods in Molecular Biology (Clifton, N.J.)|February 3, 2025
Deconvolving Bulk Transcriptomics Samples to Obtain Cell Type Proportion EstimatesVilas MenonBriefings in Functional Genomics|December 14, 2017
Clustering single cells: a review of approaches on high-and low-depth single-cell RNA-seq dataVilas MenonCold Spring Harbor Perspectives in Medicine|February 10, 2025
Exploring Parkinson's through the Lens of Genomics and BioinformaticsVilas MenonNeuron|May 19, 2017
Integrating Results across Methodologies Is Essential for Producing Robust Neuronal TaxonomiesMark S Cembrowski, Nelson SprustonCell|November 5, 2016
Illuminating the Neuronal Architecture Underlying Context in Fear MemoryMark S Cembrowski, Nelson SprustonNature Reviews. Neuroscience|February 20, 2019
Heterogeneity within classical cell types is the rule: lessons from hippocampal pyramidal neuronsMark S Cembrowski, Nelson SprustonMolecular Psychiatry|June 27, 2023
Engram neurons: Encoding, consolidation, retrieval, and forgetting of memoryAxel Guskjolen, Mark S CembrowskiMethods in Molecular Biology (Clifton, N.J.)|February 14, 2019
Identification of Cell Types from Single-Cell Transcriptomic DataKarthik Shekhar, Vilas MenonPageof 22