Shreejoy J. Tripathy, PhD
Affiliations: | Biological Sciences | Carnegie Mellon University, Pittsburgh, PA | |
| University of British Columbia, Vancouver, Vancouver, BC, Canada |
Area:
NeuroinformaticsWebsite:
http://neuroelectro.org/Google:
"Shreejoy Tripathy"Mean distance: 14.29 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| Nathan N. Urban | grad student | 2008-2013 | Carnegie Mellon | |
| (Understanding the form and function of neuronal physiological diversity.) | ||||
| Paul Pavlidis | post-doc | 2014- | Carnegie Mellon | |
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Publications
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| Howard D, Chameh HM, Guet-McCreight A, et al. (2022) An in vitro whole-cell electrophysiology dataset of human cortical neurons. Gigascience. 11 |
| Guet-McCreight A, Chameh HM, Mahallati S, et al. (2022) Age-dependent increased sag amplitude in human pyramidal neurons dampens baseline cortical activity. Cerebral Cortex (New York, N.Y. : 1991) |
| Kim EH, Howard D, Chen Y, et al. (2022) : A Tool to Visualize Gene Expression Across the Laminar Architecture of the Human Neocortex. Frontiers in Neuroinformatics. 16: 753770 |
| Gillespie TH, Tripathy SJ, Sy MF, et al. (2022) The Neuron Phenotype Ontology: A FAIR Approach to Proposing and Classifying Neuronal Types. Neuroinformatics |
| Sicherman J, Newton DF, Pavlidis P, et al. (2021) Estimating and Correcting for Off-Target Cellular Contamination in Brain Cell Type Specific RNA-Seq Data. Frontiers in Molecular Neuroscience. 14: 637143 |
| Mielnik CA, Binko MA, Chen Y, et al. (2020) Consequences of NMDA receptor deficiency can be rescued in the adult brain. Molecular Psychiatry |
| Nagy C, Maitra M, Tanti A, et al. (2020) Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons. Nature Neuroscience |
| Nagy C, Maitra M, Tanti A, et al. (2020) Single-Cell Genomic Strategies to Understand Psychopathological Processes in Depression and Suicide Biological Psychiatry. 87: S43 |
| Bomkamp C, Tripathy SJ, Bengtsson Gonzales C, et al. (2019) Transcriptomic correlates of electrophysiological and morphological diversity within and across excitatory and inhibitory neuron classes. Plos Computational Biology. 15: e1007113 |
| Tripathy SJ, Toker L, Bomkamp C, et al. (2018) Assessing Transcriptome Quality in Patch-Seq Datasets. Frontiers in Molecular Neuroscience. 11: 363 |