about
Modularization of biochemical networks based on classification of Petri net t-invariants.Structural analysis to determine the core of hypoxia response networkFuzzy Stochastic Petri Nets for Modeling Biological Systems with Uncertain Kinetic Parameters.A structured approach for the engineering of biochemical network models, illustrated for signalling pathways.Snoopy's hybrid simulator: a tool to construct and simulate hybrid biological models.A model-driven methodology for exploring complex disease comorbidities applied to autism spectrum disorder and inflammatory bowel diseaseJAK/STAT signalling--an executable model assembled from molecule-centred modules demonstrating a module-oriented database concept for systems and synthetic biology.Modeling biological gradient formation: combining partial differential equations and Petri nets.BioModel engineering for multiscale Systems Biology.Application of Petri net theory for modelling and validation of the sucrose breakdown pathway in the potato tuber.Multiscale modeling and analysis of planar cell polarity in the Drosophila wing.Multiscale modelling of coupled Ca2+ channels using coloured stochastic Petri nets.Modelling and simulating reaction-diffusion systems using coloured Petri nets.Petri nets in Snoopy: a unifying framework for the graphical display, computational modelling, and simulation of bacterial regulatory networks.Petri-net-based 2D design of DNA walker circuits.Biomodel Engineering – From Structure to BehaviorAn Introduction to BioModel Engineering, Illustrated for Signal Transduction PathwaysColouring Space - A Coloured Framework for Spatial Modelling in Systems BiologySnoopy--a unifying Petri net framework to investigate biomolecular networksModel validation of biological pathways using Petri nets—demonstrated for apoptosis
P50
Q30481593-80194B3C-65D9-4516-891D-462B5901FD9EQ30492817-6DB58B47-D179-4869-84BB-A5D4D20C4EDCQ35934252-BF19B21A-55EF-439D-B0FB-52C0CB61EA60Q37198283-5B3647CF-14D6-41C0-AF2D-473C514BED6DQ38650224-042927ED-E1FE-4FBF-8185-7BE4A7DE64A0Q38807516-BF288F94-70A0-4E85-B900-44695EBFC99AQ39188236-779899DD-CE3E-4031-A24D-EA39DC55D966Q42371862-D777C052-2F04-4609-AC87-73ABC92E8932Q45141746-475E1A87-4973-4D4B-B20E-EB532083014DQ45152641-7DF5DA49-4F50-4359-8FB2-199D21010A9DQ47321873-8431FF74-EBB4-4C83-A2C2-ABE877B9E59DQ47846888-A7B6DCA9-0FD8-418A-A5EF-036334E017E4Q50639340-81CFD692-9F6C-43E6-AB45-9AAEC961165CQ51481271-4A3855DD-AAA1-48E6-B291-2CA388B95710Q51556385-2B19EF4C-8101-4865-9A4E-E8E0ED642FCCQ57016825-9DC44E3A-ABCC-4B23-B787-DF3BC0AFEC02Q57016839-6B873513-2566-45F3-BE42-F34BA5BCB984Q57976119-1E7C25F6-9453-4CD9-A0A6-F692A812669EQ63241826-4F7955AE-3EF4-44E3-8723-AE92B65AF28AQ63241846-25C55E9C-59CC-445E-A76E-CF71883A9423
P50
description
hulumtuese
@sq
onderzoeker
@nl
researcher
@en
ricercatrice
@it
հետազոտող
@hy
name
Monika Heiner
@ast
Monika Heiner
@en
Monika Heiner
@es
Monika Heiner
@nl
Monika Heiner
@sl
type
label
Monika Heiner
@ast
Monika Heiner
@en
Monika Heiner
@es
Monika Heiner
@nl
Monika Heiner
@sl
prefLabel
Monika Heiner
@ast
Monika Heiner
@en
Monika Heiner
@es
Monika Heiner
@nl
Monika Heiner
@sl
P214
P106
P1153
6602723511
P1960
UseozQIAAAAJ
P21
P214
P2456
P2798
P31
P496
0000-0003-1815-1205
P69
P735
P7859
viaf-81736459