file:./img/SysBio-2d.png
Inspired by Arkin and Schaffer (2011)
file:./img/NordlingA10Network.png
at Steady State
file:./img/Tjarnberg-D20131025-random-N10-L25-ID75466-Aest-L32.png | file:./img/Tjarnberg-D20131025-random-N10-L25-ID75466.png | file:./img/Tjarnberg-D20131025-random-N10-L25-ID75466-Aest-L22.png |
file:./img/workflow2.png
file:./img/lin-IndependeceDark.png
file:./img/Tjarnberg.Fig_1.png | file:./img/Tjarnberg.Fig_2.png | file:./img/Tjarnberg.Fig_3.png |
- Network properties
- Data set properties
# of network: | 20 |
# states, N: | 10 |
interampatteness degree: | low VS high |
sparseness degree: | 0.25 |
Stable | Yes |
# of Data sets: | 40 |
optimal designed P: | 20 |
random double P: | 20 |
Samples / set | 2N |
condition number: | low VS high |
SNR levels: | 5 |
Information level: | is 1 when SNR \leq 1000 |
Sign Matthew Correlation Coefficient (SMCC)
A\E | 1 | 0 | -1 |
---|---|---|---|
1 | TP | FN | FN |
0 | FP | TN | FP |
-1 | FN | FN | TP |
file:./img/OptimalPerformance.png
file:./img/OptimalPerformanceLowk.png | file:./img/OptimalPerformanceHighk.png |
file:./img/clsRSSPerformanceLowk.png | file:./img/pureRSSPerformanceLowk.png |
file:./img/clsRSSPerformanceHighk.png | file:./img/pureRSSPerformanceHighk.png |
- FunCoup (Schmitt et al., 2013)
- STRING (Szklarczyk et al., 2011)
file:./img/FunCoup.png
- Optimal Sparsity
-
- Selection of Samples For LOOCO
- Un-biased Re-estimation of Network links
- Benchmark
-
- Data Properties Highly Influential for Inference Performance
- Optimal Sparsity Selection is Beneficial when adding CLS estimation
- Prior Incorporation
-
- Accurate symmetric prior helps.
Erik Sonnhammer
Matthew Studham
Dimitri Guala
Thomas Schmitt
Gabriel Östlund
Christoph Ogris
Torbjörn Nordling
Oliver Fringes
Kristoffer Forslund