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Activity Number:
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81
- Contributed Poster Presentations: Section on Statistics in Epidemiology
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #314002
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Title:
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Inferences on the Number of Categories in Hematopoietic Stem Cell Barcoding Data
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Author(s):
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Siyi Chen* and Marek Kimmel and Katherine King
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Companies:
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Rice University and Rice University and Baylor College of Medicine
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Keywords:
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multinomial model;
Dirichlet distribution ;
barcoding data;
species problem ;
approximate Bayesian computation;
power analysis
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Abstract:
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Hematopoietic stem cells give rise to all different types of mature blood cells and can be uniquely labeled by insertion of DNA barcodes which is accomplished by transduction of a library of unique DNA sequences. The estimation of the size of the stem cell population is important in assessing the robustness of observations made in experiments. We review the famous species problem in ecology and compare symmetric/asymmetric multinomial-Dirichlet model for cell barcoding data by performing approximate Bayesian computation method. In this research we also present power analysis which gives the number of 96-well plates that would be required for 80% and 90% power.
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Authors who are presenting talks have a * after their name.
