Toggle navigation
Home
Search
Services
Blog
Contact
About
Minority Predoctoral Fellowship Program - NIGMS
Eke, Agatha N.
Johns Hopkins University, Baltimore, MD, United States
Search 3 grants from Agatha Eke
Search grants from Johns Hopkins University
Share this grant:
:
:
Abstract
Funding
Institution
Related projects
Publications
Comments
Recent in Grantomics:
Ohio State University
vs. funders. Who wins?
Read more...
How should you pick the next fundable research topic?
Read more...
Recently viewed grants:
Center for Achieving and Sustaining Improved Health in Harlem
Induction and Modulation of Host Responses by Upec
Cellular and Molecular Foundations of Biomedical Science
HPA Axis Indices of Grief Related Child Psychopathology
Developmental Use of Genetic Information in Drosophila
Recently added grants:
Channel Block and Gating of NMDA Receptors
Efficacy of Family Programs for Improving Child and Family Health and Development.
Metabolic control of global gene expression during the Maternal-to-Zygotic Transition
An Open Learning Disabilities Behavioral Data Repository
Taming radical enzymes through directed evolution and structural analysis
Abstract
Funding Agency
Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
5F31GM016448-03
Application #
2170988
Study Section
Special Emphasis Panel (SRC)
Project Start
1996-10-01
Project End
Budget Start
1996-10-01
Budget End
1997-04-30
Support Year
3
Fiscal Year
1996
Total Cost
Indirect Cost
Institution
Name
Johns Hopkins University
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
045911138
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Related projects
NIH 1996
F31 GM
Minority Predoctoral Fellowship Program - NIGMS
Eke, Agatha N. / Johns Hopkins University
NIH 1995
F31 GM
Minority Predoctoral Fellowship Program - NIGMS
Eke, Agatha N. / Johns Hopkins University
NIH 1994
F31 GM
Minority Predoctoral Fellowship Program - NIGMS
Eke, Agatha N. / Johns Hopkins University
Publications
Beck, Daniel; Foster, James A
(2015)
Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis.
BioData Min 8:23
Comments
Be the first to comment on this grant