P.GRI-231107-V1_Computational-analyses-of-scRNA-seq-data.docx Version 1
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Computational analyses of scRNA-seq data.docx
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Created: 7th Nov 2023 at 20:14
Last updated: 17th Nov 2023 at 21:43
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Version 1 (earliest) Created 7th Nov 2023 at 20:14 by Charles Demurjian
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Institutions: Massachusetts Institute of Technology
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Studies: Integrating endometrial proteomic and single cell transcriptomic pipelin..., Organoid co-culture model of the cycling human endometrium in a fully-de...
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Lauren Baugh, Brittany A. Goods, Juan S. Gnecco, Yunbeen Bae, Michael Retchin, Constantine N. Tzouanas, Megan Loring, Keith Isaacson, Alex K. Shalek, Douglas Lauffenburger, Linda Griffith
https://www.medrxiv.org/content/10.1101/2022.01.29.22269829v1
Endometriosis is a debilitating gynecological disorder affecting approximately 10% of the female population. Despite its prevalence, robust methods to classify and treat endometriosis remain elusive. Changes ...
Submitter: Charles Demurjian
Investigation: Endometriosis
Assays: All Metadata, DNA Extraction - Metadata, Immunohistochemistry - Data Linked, Linear Mixed Model - Data Linked, Mass Spectrometry Proteomics - Data Linked, Mass Spectrometry Proteomics Analysis - Data Linked, Patient Visit - Metadata, Single Cell Expression Matrix Analysis - Data Linked, Single Cell Sequencing - Data Linked, Tissue Collection - Metadata
Submitter: Charles Demurjian
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Endometriosis
