| dc.contributor.advisor | Luk Van Parijs. | en_US |
| dc.contributor.author | Yokoo, Rayka, 1980- | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2005-06-02T19:34:56Z | |
| dc.date.available | 2005-06-02T19:34:56Z | |
| dc.date.copyright | 2004 | en_US |
| dc.date.issued | 2004 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/18002 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. | en_US |
| dc.description | Includes bibliographical references (leaves 43-44). | en_US |
| dc.description.abstract | With the development of new experimental technologies, biologists have begun to take a more global view into cell function, approaching its study in a more systematic manner than previously possible. This thesis develops three new tools to perform systems biology studies of cell death in T cells: A modeling program, JDesigner; high throughput T cell apoptosis assays; and an RNAi sequence prediction program. These tools are then applied to a biological and mathematical analysis of Fas signaling pathways in T cells. | en_US |
| dc.description.statementofresponsibility | by Rayka Yokoo. | en_US |
| dc.format.extent | 56 leaves | en_US |
| dc.format.extent | 4108909 bytes | |
| dc.format.extent | 4113778 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Biological and computational tools for systems biology : application to Fas signaling pathways in T cells | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 57204222 | en_US |
