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Lars Juhl Jensen
Network Biology
Large-scale integration of data and
text
me
group leader
cofounder
disease systems biology
proteomics data
mass spectrometry
protein networks
Hendriks et al., NSMB, 2017
medical data
Jensen et al., Nature Reviews Genetics, 2012
disease networks
Jensen et al., Nature Communications, 2014
association networks
guilt by association
protein networks
string-db.org
international collaboration
9.6 million proteins
2000+ genomes
genomic context
gene fusion
Korbel et al., Nature Biotechnology, 2004
experimental data
coexpression
physical interactions
Jensen & Bork, Science, 2008
curated knowledge
pathways
Letunic & Bork, Trends in Biochemical Sciences, 2008
many databases
different formats
different identifiers
variable quality
not comparable
hard work
quality scores
affinity purification
von Mering et al., Nucleic Acids Research, 2005
score calibration
gold standard
von Mering et al., Nucleic Acids Research, 2005
implicit weighting by quality
common scale
missing most of the data
text mining
>10 km
too much to read
computer
as smart as a dog
teach it specific tricks
named entity recognition
dictionary
cyclin dependent kinase 1
CDC2
orthographic variation
spaces and hyphens
cyclin dependent kinase 1
cyclin-dependent kinase 1
prefixes and suffixes
CDC2
hCdc2
“black list”
SDS
co-mentioning
counting
scoring scheme
score calibration
medical data
Jensen et al., Nature Reviews Genetics, 2012
structured data
Jensen et al., Nature Reviews Genetics, 2012
unstructured data
Danish
busy doctors
abbreviations
misspellings
adverse drug reactions
drugs
Clozapine
Clozapine
clozapi
n
clossapi
n
klozapin
e
chlosapi
n
chlosapi
ne
chlozapi
n
chlozapi
ne
klossapi
n
closapin
e
klozapi
nklosapi
n
Eriksson et al., Drug Safety, 2014
Drug introduction Drug discontinuation
Adverse eventNegative modifier Indication Pre-existing
condition
Adverse drug reaction Possible
adverse drug reaction
Adverse event
ADR of
additional drug
Identification start
country-wide registries
119 million diagnoses
6.2 million patients
comorbidity
confounding factors
“known knowns”
gender
age
type of hospital encounter
Jensen et al., Nature Communications, 2014
“known unknowns”
smoking
diet
“unknown unknowns”
reporting biases
matched controls
temporal correlations
diagnosis trajectories
Jensen et al., Nature Communications, 2014
direct implications
summary
highly collaborative
within the group
between CPR groups
internationally
lines of research
proteome analysis
community resources
text mining
medical data mining
Network Biology: Large-scale integration of data and text

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