7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012
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...
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| Language: | en-US |
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2023
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| Online Access: | https://hdl.handle.net/1721.1/148338 |
| _version_ | 1811072286572150784 |
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| author | Lee, Michael |
| author_facet | Lee, Michael |
| author_sort | Lee, Michael |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T09:03:34Z |
| id | mit-1721.1/148338 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2024-09-23T09:03:34Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | mit-1721.1/1483382023-03-07T04:27:56Z 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics Lee, Michael systems biology network medicine cancer cancer therapeutics quantitative high-throughput data acquisition genomic analysis signaling network biology statistical/computational modeling network biology drug development 260911 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. 2023-03-06T17:05:58Z 2023-03-06T17:05:58Z 2012-12 2023-03-06T17:06:04Z 7.343-Fall2012 7.343 IMSCP-MD5-0330d0ba46b95ebc88cf5eb2e0c55cb5 https://hdl.handle.net/1721.1/148338 en-US This site (c) Massachusetts Institute of Technology 2023. Content within individual courses is (c) by the individual authors unless otherwise noted. 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Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ text/plain text/html image/jpeg image/jpeg text/html text/html text/html text/html text/html text/html text/html application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/html image/png image/png image/png image/png image/gif image/png image/png image/png image/jpeg image/gif image/png image/png image/png image/gif image/png image/png image/png image/png image/png image/png image/gif image/png image/png image/gif image/gif image/png image/png image/png image/png image/png image/png image/png image/png image/png image/gif image/jpeg image/gif image/png image/jpeg image/png image/png image/png image/png image/png image/png image/png image/png image/png image/gif image/png image/png image/jpeg image/gif image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/png image/gif application/octet-stream image/gif image/gif image/png image/gif image/gif image/gif image/png image/png application/octet-stream image/gif image/gif image/gif image/gif image/png image/gif image/gif application/octet-stream image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png application/rdf+xml; charset=utf-8 text/html image/png image/png image/jpeg image/png image/png image/png image/png image/png text/html text/html Fall 2012 |
| spellingShingle | systems biology network medicine cancer cancer therapeutics quantitative high-throughput data acquisition genomic analysis signaling network biology statistical/computational modeling network biology drug development 260911 Lee, Michael 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012 |
| title | 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012 |
| title_full | 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012 |
| title_fullStr | 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012 |
| title_full_unstemmed | 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012 |
| title_short | 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics, Fall 2012 |
| title_sort | 7 343 network medicine using systems biology and signaling networks to create novel cancer therapeutics fall 2012 |
| topic | systems biology network medicine cancer cancer therapeutics quantitative high-throughput data acquisition genomic analysis signaling network biology statistical/computational modeling network biology drug development 260911 |
| url | https://hdl.handle.net/1721.1/148338 |
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