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Short description of portfolio item number 1
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Published in MedRxiv, 2024
This estimates and predicts selection of K13 antimalarial drug resistance mutations.
Recommended citation: Meier-Scherling CPG, Watson OJ, Asua V, Ghinai I, Katairo T, Garg S, Conrad M, Rosenthal PJ, Okell LC, Bailey JA. Selection of artemisinin partial resistance Kelch13 mutations in Uganda in 2016-22 was at a rate comparable to that seen previously in South-East Asia. medRxiv [Preprint]. 2024 Feb 4:2024.02.03.24302209. doi: 10.1101/2024.02.03.24302209. PMID: 38352505; PMCID: PMC10862983. https://pubmed.ncbi.nlm.nih.gov/38352505/
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Title: evoModes: A modeling framework for estimating tumor evolutionary modes from single-cell RNA sequencing data.
Cecile Meier-Scherling, Simona Cristea, Thomas O McDonald, Franziska Michor.
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Title: Comparison of strength of selection for P. falciparum artemisinin resistance-associated mutations between southeast Asia and Uganda.
Cecile Meier-Scherling, Oliver J Watson, Victor Asua, Isaac Ghinai, Thomas Katairo, Shreeya Garg, Melissa Conrad, Philip J. Rosenthal, Lucy C Okell, Jeffrey A. Bailey.
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Title: Comparison of strength of selection for P. falciparum artemisinin resistance-associated mutations between southeast Asia and Uganda.
Cecile Meier-Scherling, Oliver J Watson, Victor Asua, Isaac Ghinai, Thomas Katairo, Shreeya Garg, Melissa Conrad, Philip J. Rosenthal, Lucy C Okell, Jeffrey A. Bailey.
Published:
Title: Comparison of strength of selection for P. falciparum artemisinin resistance associated mutations in southeast Asia and Uganda.
Cecile Meier-Scherling, Oliver J Watson, Victor Asua, Isaac Ghinai, Thomas Katairo, Shreeya Garg, Melissa Conrad, Philip J. Rosenthal, Lucy C Okell, Jeffrey A. Bailey.
Undergraduate course, Boston University, College of Engineering, 2020
Undergraduate Teaching Fellow for Probability, Statistics, and Data Science for three semesters (Spring 2020, Fall 2020, Spring 2021)
Undergraduate/Graduate course, Brown University, 2024
Graduate Teaching Assistant for Statistical Analysis of Biological Data during the Spring 2024 semester.