Wilkinson D.J. Stochastic Modelling for Systems Biology
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254
parameter,
34
reaction, 35
shorthand,
36
species,
34
units, 33
SDE,
133
sensitivity analysis, 173
set
theory,
46
SLLN,
75
spatial stochastic models, 195
SPN, 150
stationary distribution,
Ill
stochastic
kinetics, 145
matrix,
110
process, I
09
rate constant conversion, 153
rate constants, 147
stochastic differential equation, 133
stochastic Petri net
(SPN), 150
stochastic simulation, 91
stoichiometry, 7
matrix,
26
summarising simulation output, 165
Systems Biology Markup Language
(SBML),31
T-invariant,
29
tau-leap algorithm, 187
theorem
of
total probability
continuous,
72
time-discretisation, 186
time-varying volume, 185
transcription, 8
transformation methods, 93
transition
kernel, 116
matrix,
110
translation, 12
transport (nuclear),
13
uncertainty analysis, 173
uniform distribution, 75
discrete,
64
simulation,
92
union,46
units
SBML,33
upper
quartile, 71
variance,
59
continuous,
72
linear combination, 63
linear transformation,
62
sample, 103
sum,
62
visualisation, 165
Wiener process, 133
WLLN, 75
INDEX
