Introduction to Cancer Bioinformatics III: Cancer Progression Networks

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Niko Beerenwinkel, ETH Zürich
Algorithmic Challenges in Genomics Boot Camp
  1. Simons Institute
  2. Simons Institute
  3. UC Berkeley
  4. computer science
  5. theory of computing
  6. Algorithmic Challenges in Genomics
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Комментарии
Автор

For f(t) t=time use weight distribution of proteins, this could also be proportional decay. Electrolysis would be quite effective in my opinion.

jackstacks
Автор

2.5 ×10^19 {(p!)/(r!(p-r)!)} Factor, of DNA weight, times the volume. R = AT, CG = binary, p= amount of nucliotides. Ω(μ) = 1 Ω(μ) where μ is weighted volume of weak nuclear force and oxidative decay. Then use each proabilty as a game theory tree. Use proportional graphne(superconductor) in proportional voume.

jackstacks