1,483 search results for “genetics he data” in the Public website
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Cheminformatics: Analyzing small-molecule activity data
While bioinformatics methods deal with the analysis of sequence information (be it proteins or DNA), the field of cheminformatics is concerned with the analysis of small-molecule datasets.
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How genetic research contributes to effective lion conservation
Human measures to protect lions have an impact on the genetic health of populations. Leiden and Kenyan scientists discovered this by analysing the DNA of 171 Kenyan lions. ‘By fencing reserves, for example, the chance of inbreeding increases.’ With the knowledge and tools from the research, management…
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Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
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First clinical trial with genetically modified malaria vaccine completed
In an innovative study, Radboudumc and LUMC jointly tested a candidate vaccine based on a genetically weakened malaria parasite. The results of this clinical trial, published in Science Translational Medicine, show that the vaccine is safe and elicits a defense response against a malaria infection.
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Data use, online consumer needs, business strategies and regulatory response
This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.
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Wessel Kraaij
Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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EU privacy and data protection law applied to AI
On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.
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Diversity in the globally intertwined giant barrel sponge species complex
This thesis describes the genetic and prokaryotic diversity of giant barrel sponges.
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Dedicated image data handling
This page is under construction.
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Breast cancer risk more accurate after genetic test
Leiden University Medical Center (LUMC) has spent the past five years coordinating an international study of genetic mutations and breast cancer risks. The results will make it easier to determine which genes increase the risk of breast cancer and to what extent. The researchers published their results…
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Genetic predisposition to social anxiety disorder measurable in the brain
It was already known that social anxiety disorder often affects more than one person in the same family. But research by PhD student Janna Marie Bas-Hoogendam has now shown that there are genetic brain characteristics that are associated with social anxiety. The PhD ceremony will take place on 14 Ja…
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From Data to ACTive lifestyle in Wheelchair users (D-ACT-Wheel)
Making the Virtuagym e-platform suitable for wheelchair users with a spinal cord injury or lower limb amputation.
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Cor Veenman
Science
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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Nees Jan van Eck
Faculteit der Sociale Wetenschappen
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
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Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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Accessing End-Of-Supply Risk of Spare Parts Using Big Data
How to access the end-of-supply risk of spare pares using big data analytics
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Making big data meaningful for a promising start
All children deserve a promising start. Most children are doing fine. But some need extra support, because of problems during pregnancy or because they grow up in disadvantaged circumstances, e.g. due to poverty, parental addictions or psychological problems.
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Danny Mekic
Faculteit Rechtsgeleerdheid
d.mekic@law.leidenuniv.nl | 071 5272727
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
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Alan Sears
Faculteit Rechtsgeleerdheid
a.m.sears@law.leidenuniv.nl | +31 71 527 8154
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Break-through in the genetic modification of plants
A collaboration between the IBL and LUMC has resulted in the discovery that the polymerase theta enzyme is essential for the integration of Agrobacterium T-DNA into the genome of plants. The finding means a break-through for the development of more efficient systems for targeted genome modification…
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Richard Gill
Science
gill@math.leidenuniv.nl |
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Rob Tijdeman
Science
tijdeman@math.leidenuniv.nl | +31 71 527 4831
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Jenneke Evers
Faculteit Rechtsgeleerdheid
g.h.evers@law.leidenuniv.nl | +31 71 527 8838
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Simon van Lierde
Science
s.n.van.lierde@cml.leidenuniv.nl | +31 71 527 2727
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Gabriel Spautz Vieira
Faculteit Archeologie
g.spautz.vieira@arch.leidenuniv.nl | +31 71 527 2727
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Efficacy of Self-management training in adolescents and adults with Klinefelter syndrome (XXY)
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Max van Haastrecht
Science
m.a.n.van.haastrecht@liacs.leidenuniv.nl | 071 5272727
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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VODAN Africa – FAIR Covid-19 Data across Africa and Asia
VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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citizens’ participation in public service delivery: the possibilities of data dashboards
Data science offers exciting new instruments for governments to reach out to citizens, for example by using data-driven information channels, providing real-time simulations, or personalizing services based on citizen data. At the same time, the possibilities and use of data science methods can have…
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Design and development of a comprehensive data management platform for cytomics: cytomicsDB
Promotor: J.N. Kok, Co-promotor: F.J. Verbeek
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the automated detection of archaeological objects in remotely sensed data
Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…
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Sharing personal health data
Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.
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Joost van den Berg
Faculty of Humanities
j.h.van.den.berg@hum.leidenuniv.nl | +31 71 527 2727
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Monitoring drug-related homicides: An assessment of existing data sources and potential for future monitoring
This project’s aim is to critically assess current homicide data sources in order to develop a proposal for long-term EU-level monitoring of DRH.
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Stacked Domain Learning for multi-domain data: a new ensemble method
The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.
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MYC transcription factors: masters in the regulation of jasmonate biosynthesis in Arabidopsis thaliana
Promotor: J.M. Memelink
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
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Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
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Jacqueline Meulman
Science
j.j.meulman@math.leidenuniv.nl | 071 5272727
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National Culture and Africa Revisited: Ethnolinguistic Group Data From 35 African Countries
This study seeks to partially fill the knowledge gap about national culture in Africa, basing its research on data on ethnolinguistic groups (instead of administrative regions).
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Integrating data to learn more
Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.