| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000436077 |
| 005 | | 20200228132410 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781085588133 |
| 035 | |
▼a (MiAaPQ)AAI13421157 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 575 |
| 100 | 1 |
▼a Wang, Ching-Hao. |
| 245 | 10 |
▼a Statistical Physics of Information Processing by Cells. |
| 260 | |
▼a [S.l.]:
▼b Boston University.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 221 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: B. |
| 500 | |
▼a Advisor: Mehta, Pankaj. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Boston University, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 506 | |
▼a This item must not be added to any third party search indexes. |
| 520 | |
▼a This thesis provides a physics account of the ability of cells to integrate environmental information to make complex decisions, a process commonly known as signaling. It strives to address the following questions: (i) How do cells relate the state of the environment (e.g. presence/absence of specific molecules) to a desired response such as gene expression? (ii) How can cells robustly transfer information? (iii) Is there a biophysical limit to a cells' ability to process information? (iv) Can we use the answers to the above questions to formulate biophysical principles that inform us about the evolution of signaling? Throughout, I borrow techniques from non-equilibrium statistical physics, statistical learning theory, information theory and information geometry to construct biophysical models capable of making quantitative experimental predictions. Finally, I address the connection of energy expenditure and biological efficiency by zeroing in on a process unique to eukaryotic cells-- nuclear transport. The thesis concludes with a discussion of our theory and its implications for synthetic biology. |
| 590 | |
▼a School code: 0017. |
| 650 | 4 |
▼a Biophysics. |
| 650 | 4 |
▼a Statistical physics. |
| 650 | 4 |
▼a Cellular biology. |
| 650 | 4 |
▼a Genetics. |
| 690 | |
▼a 0786 |
| 690 | |
▼a 0217 |
| 690 | |
▼a 0379 |
| 690 | |
▼a 0369 |
| 710 | 20 |
▼a Boston University.
▼b Physics GRS. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-02B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0017 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15490410
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |