Mei-Fen Yeh, Sc.M.
 Contact
Information:
Department of Oncology Biostatistics
Johns Hopkins School of Medicine
Baltimore, Maryland 21205
W: 410.614.2338
F: 410.614.1328
mfyeh1@jhmi.edu
Mei-Fen Yeh received her B.S. in Pharmacy from National Taiwan University,
M.P.H. from State University of New York at Albany, and Sc.M. from Biostatistics
department from Johns Hopkins University Bloomberg School of Public Health. Ms.
Yeh is currently a biostatistician in the Biostatistics Division of the
Department of Oncology.
Research Interests:
Mei-Fen Yeh's research interest is in the area of statistical genetics.
With the continuous collaboration with her master thesis advisor, Dr.
Kowalski, she develops and implements non-parametric methods for
the analysis of high-dimensional gene sequence data, to examine the association
between usage drugs abuse and viral sequence diversity within HIV-1 gene
regions targeted by antiretroviral therapies.
Her other research interest is to develop distance-based statistical
methods with an application in the proteomics area.
Software Development:
Gene_S:
a menu-driven collection of S-plus functions created to facilitate
two group analysis of gene region sequence pairs
Presentations:
Yeh, M.F., Kowalski, J., Zhang, G.W, Shao, Q., Templeton,
A., Young, M., Gange, S., Schneider, S., Markham, R. (2004) A History
of Injection Drug Use Among Women Is Associated with Increased Diversity
in the HIV-1 Protease Gene. Invited poster, read
poster as PDF, 11th Conference on Retroviruses and Opportunistic
Infections, February 8-11, San Francisco, CA.
Yeh, M.F., Kowalski, J., Zhang, G.W, Shao, Q., Schneider,
M., Templeton, A., Markham, R. (2004) Nonparametric Analysis of Sequence
Heterogeneity Associated with Injection Drug Usage. Contributed poster, East
North American Region Meeting of the International Biometric Society,
March 28-31, Pittsburgh, PA.
Publications:
(In progress) Yeh, M.F., Kowalski, J., Markham, R.,
The Association between Injection Drug Use and Clonal HIV Genetic Diversity
(In progress) Yeh M.F., Kowalski, J., White, N.,
Zhang, Z., Comparative Methods on Protein Array Analysis of Many Samples
with Very Few Replicates
Links:
Los
Alamos Natl. Lab HIV Database: contains data on HIV genetic sequences,
immunological epitopes, drug resistance-associated mutations, vaccine
trials, and a large number of tools that can be used to analyze these
data.
Protein
Explorer: a free software for visualizing the three-dimensional
structures of protein, DNA, and RNA macromolecules.
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