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<p>실험의 목적 : 데이터 수집<br />최종 목적 : 생물 시스템 이해<br />y2h<br />scale free network ; 효율 vs 위험(one to one, one to many)Bioprogramming</p>
<p>architecture why do we programming : to simulate (programming(networkarchitect) : data<=>interactioncoding(writing))</p>
<p>metabolome!!!why do we do experiments : to collect the data</p>
<p> - IP,Y2H -> experimental tech to understand the network = put it in computer and simulatestudy interaction</p>
<p>modeling = we can simplify and make Final goal : understanding the relationship clear. but careful not to lose too many databiological system</p>
<p><br />HW define 20 words in my life - architecture (network) : data=>node & interaction</p>
<p>programming - modeling = we can simplify and make the relationship clear by modeling the system. but careful not to lose too many data.</p> <p> - scale free network : 효율 vs 위험(architectone to one, one to many) coding</p> <p>(writingA <strong>scale-free network</strong> is a <a href="https://en.wikipedia.org/wiki/Complex_network" title="Complex network">network</a> whose <a href="https://en.wikipedia.org/wiki/Degree_distribution" title="Degree distribution">degree distribution</a> follows a <a href="https://en.wikipedia.org/wiki/Power_law" title="Power law">power law</a>, at least asymptotically. That is, the fraction <em>P</em>(<em>k</em>) of nodes in the network having <em>k</em> connections to other nodes goes for large values of <em>k</em> as</p> <p><img alt="P(k) \ \sim \ k^\boldsymbol{-\gamma}" src="https://upload.wikimedia.org/math/f/7/9/f793f6d9a7fa1c45426ae53113c4c15e.png" /></p> <p>where <img alt="\gamma" src="https://upload.wikimedia.org/math/3/3/4/334de1ea38b615839e4ee6b65ee1b103.png" /> is a parameter whose value is typically in the range 2 < <img alt="\gamma" src="https://upload.wikimedia.org/math/3/3/4/334de1ea38b615839e4ee6b65ee1b103.png" /> < 3, although occasionally it may lie outside these bounds.<span style="font-size:10.8333px; line-height:17.3333px"> from wiki)</span></p>