Random and scalefree Pk linear and log scales
- Slides: 36
Random and scale-free P(k) (linear and log scales)
Yeast protein interaction network • Data from the highthroughput two-hybrid experiment (T. Ito, et al. PNAS (2001) ) • The full set containing 4549 interactions among 3278 yeast proteins • 87% nodes in the largest component • The highest connected protein interacts with 285 others! • Figure shows only nuclear proteins
Synthetic lethals in yeast
Rank vs. degree for metabolites and reactions in Helicobacter pylori
Transcription regulatory network in baker’s yeast l l Downloaded from the YPD database: 1276 regulations among 682 proteins by 125 transcription factors (10 regulated genes per TF) Part of a bigger genetic regulatory network of 1772 regulations among 908 proteins Positive to negative ratio 3: 1 Broader distribution of outdegrees (up to 72) and more narrow of in-degrees (up to 21)
Transcription regulatory network in Homo Sapiens l l l Data courtesy of Ariadne Genomics obtained from the literature search: 1449 regulations among 689 proteins Positive to negative ratio is 3: 1 (again!) Broader distribution of out-degrees (up to 95) and more narrow of in-degrees (up to 40)
Transcription regulatory network in E. coli l l l Data (courtesy of Uri Alon) was curated from the Regulon database: 606 interactions between 424 operons (by 116 TFs) Positive to negative ratio is 3: 2 (different from eukaryots!) Broader distribution of out-degrees (up to 85) and more narrow of in-degrees (only up to 6 !)
- Log 3 = 0 477 dan log 2 = 0 301 nilai log 18 = .... *
- Jika log 2 = 0 301 dan log 3 = 0 778 nilai log 36 adalah
- 5 log 1/2 + 5 log 50
- Jika diketahui log 3 = 0,4
- Diketahui log 2 = 0 301 dan log 5 = 0 699
- ⁹log 243
- Jika log 3=0 477 dan log 5=0 699 maka log 45 adalah
- Linear vs logarithmic
- Random assignment vs random sampling
- Random assignment vs random selection
- Power law log log plot
- Power law log log plot
- Log sig fig
- Loga mn
- Log k = log a - ea/rt
- Log to ln
- Persamaan 7 log 217 + 7 log 31 ialah
- What is a logarithm
- Compound interest desmos
- Modelo log lin
- Exponential function transformations
- Log m-log n
- Log multiply log
- How to condense logarithmic expressions
- Azade nazi
- Linear combination of random variables
- Random linear algebra
- Linear function of random variables
- Linear combination of poisson random variables
- Random linear codes
- Log linear regression model
- Log linear regression model
- Simple linear regression and multiple regression
- Non-linear text
- Linear and non linear narrative structure
- Difference between linear and nonlinear pipeline
- Examples of non linear multimedia