| dc.contributor.author | Lee, Michael | |
| dc.coverage.temporal | Fall 2012 | |
| dc.date.accessioned | 2023-03-06T17:05:58Z | |
| dc.date.available | 2023-03-06T17:05:58Z | |
| dc.date.issued | 2012-12 | |
| dc.identifier | 7.343-Fall2012 | |
| dc.identifier.other | 7.343 | |
| dc.identifier.other | IMSCP-MD5-0330d0ba46b95ebc88cf5eb2e0c55cb5 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/148338 | |
| dc.description.abstract | In this course, we will survey the primary systems biology literature, particularly as it pertains to understanding and treating various forms of cancer. We will consider various computational and experimental techniques being used in the field of systems biology, focusing on how systems principles have helped advance biological understanding. We will also discuss the application of the principles of systems biology and network biology to drug development, an emerging discipline called "network medicine." This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching. | en |
| dc.language.iso | en-US | |
| dc.rights | This site (c) Massachusetts Institute of Technology 2023. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. | en |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 Unported | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | * |
| dc.subject | systems biology | en |
| dc.subject | network medicine | en |
| dc.subject | cancer | en |
| dc.subject | cancer therapeutics | en |
| dc.subject | quantitative high-throughput data acquisition | en |
| dc.subject | genomic analysis | en |
| dc.subject | signaling network biology | en |
| dc.subject | statistical/computational modeling | en |
| dc.subject | network biology | en |
| dc.subject | drug development | en |
| dc.title | 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012 | en |
| dc.title.alternative | Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics | en |
| dc.type | Learning Object | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | |
| dc.audience.educationlevel | Undergraduate | |
| dc.subject.cip | 260911 | en |
| dc.date.updated | 2023-03-06T17:06:04Z | |
