handouts - Department of Information and Computing Sciences

Beta Faculty
Department of Information and Computing Sciences
Scientific research methods
Wienand Omta
Peter de Waal
October 24, 2014
Design Science Research
•  Motivation and definition
•  Approach
•  Example: Automated microscopy
–  Analyze
–  Design
–  Implement
–  Evaluate
•  Other terms
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
October 24, 2014
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What is Design Science
Design Science
The Design Research approach is the analysis and the use of the
performance of new designed artefacts, to understand, explain or improve
aspects of IT
Use: a change for the end-user e.g. the way of working
Performance: a change in features/characteristics e.g. faster, better
Artefacts: Interface, design method, a software package
Measuring improvements and at the same time insight in way of working
Applied in medical-, technical, information and computing sciences
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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Applied fields
•  Computer science
•  Information Science
•  Human Computer Interaction (HCI)
•  Information retrieval (IR)
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Natural versus Design
Natural sciences:
Body of knowledge about phenomena in the world that describes and
explains behaviour and interaction.
Design sciences, or sciences of the artificial:
Body of knowledge about artificial phenomena designed to meet certain goals
See AIS-net pages on Design Research :
http://desrist.org/design-research-in-information-systems/
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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Design cyclus
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Design approach
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Design Research cycle
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Example in automated microscopy
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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High Content Screening
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Image based readout, automated microscopy
Automated image analysis
Data at single cell level
Multivariate data (multiple parameters)
Complex phenotypes, unexpected phenotypes
Insight into mechanism of action and black box
problem
drs. ing. Wienand Omta
Approach: What is the problem?
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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Problem I
DMSO
(control)
Drug 1 @ 0.5 x LD50
STAUROSPORINE
(Apoptosis-inducer)
Drug 2 @ 0.5 x LD50
SIRAMESINE
(LCD-inducer)
drs. ing. Wienand Omta
Problem II
drs. ing. Wienand Omta
Approach step 1: Analyze
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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Analysis I
Singh, Carpenter and Genovesio (2014)
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Analysis II
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Finding novelty in the data
Lack of knowledge in bioinformatics and statistics
No appropriate tools available
Not sufficient computational power available
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Approach step 2: Design
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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KDD Framework
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Analysis method
Young et al. 2008
drs. ing. Wienand Omta
Final work analysis workflow
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Approach step 3: Implementation
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Implementation
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Web based platform
Non expert users
Decision supportive
Logic: R CRAN
Storage MYSQL
Interface: PHP + JQUERY
•  Bootstrap (mobile devices)
•  Parallel programming
•  Uses HPC (for large jobs)
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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Approach step 3: Evaluation
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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Evaluation
Multi parameter
approach
Select relevant
parameters
Single parameter
approach
vs.
Select a single parameter
Apply factor analysis
-
Find relevant hits
Ranking
Scientific Research Methods 2014/2015 – Wienand Omta, Peter de Waal
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Evaluation
vs.
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Evaluation
Multi parameter
approach
Single parameter
approach
45 minutes
vs.
8 months
44 parameters
vs.
1 parameter
Cell level data 11.3 GB
vs.
Well level data 42.4 MB
Clustered and ranked
vs.
Ranked
Six main biological
processes found
vs.
Two main biological
processes found
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Other terms I
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Other terms II
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Questions?
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Acknowledgements
Prof. dr. Sjaak Brinkkemper
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