Japanese Society for Bioinformatics - Monte Carlo Simulation

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Monte Carlo Simulation
for the sigma parameter of moving windows

With 20 sets of simulation data, random numbers that fill the chip dimension,
the standard deviations for means and medians of the moving windows were calculated.
The standard deviations present the ideal value,
which will be obtained when noises are absent in microarray analyses.

cycles	mean	median
1	0.1984723	0.2479306
2	0.1989189	0.2466279
3	0.1986852	0.247983
4	0.2024613	0.2502793
5	0.1970177	0.2450545
6	0.1998656	0.2469877
7	0.2008643	0.2497612
8	0.200276	0.2476841
9	0.1995815	0.2485011
10	0.1995136	0.249285
11	0.2006275	0.2493826
12	0.2013696	0.2494893
13	0.1996653	0.2482006
14	0.2013769	0.2502287
15	0.2011599	0.2502651
16	0.1993147	0.2472288
17	0.1998732	0.2499465
18	0.1991683	0.2472938
19	0.1976704	0.2472706
20	0.2000082	0.2493452

(average for the median) = 0.2486063

The R program for this simulation

# 01 Sep. 2006
# Tomokazu Konishi

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Monte Carlo Simulation for the sigma parameter of moving windows

Monte Carlo Simulation
for the sigma parameter of moving windows