A benchmark standard for predicting the gene targets of chemical perturbants
Individual author or multiple authors
Individual
Major
Computer Science (CS); Biology (BIOL)
Category of Work
Comps
Additional Category of Work
None
Degree
Bachelor of Arts
Class Year
2014
Department or Program
Computational Biology (Special major)
Comps Adviser(s)
Liben-Nowell, David; Wolff, Jennifer
Special Recognition
Distinction on comps
Identifier (Includes All Files and Enter All Their Files Name)
wilsone_2014_CSBIO.pdf, wilsone_2014_CSBIO.pptx
Keywords
functional genomics, chemical genomics, target prediction, yeast, computational biology
Student Work Completed Date
2014-05-05
Format
application/pdf, application/ppt
Files Uploaded
Text (paper), Presentation
Rights Management
Student author/s retain copyright to this work. Through online submission process, author/s granted Carleton College the non-exclusive rights to preserve this work as part of Carleton's academic history and to use it for teaching purposes and/or institutional research and assessment.
