Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28promotor%29%22
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Gehrmann, T. (author)
Fungi are microorganisms whose astounding variety can be found in every conceivable ecosystem on the planet. Fungi are nutrient recyclers, playing an irreplaceable role in the carbon cycle. They grow on land and in the sea, on plants and animals and in the soil. They feed us as mushrooms, and drive our economy as bioreactors. They leaven our...
doctoral thesis 2018
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Gritsenko, A. (author)
Recent advances in DNA sequencing, synthesis and genetic engineering have enabled the introduction of choice DNA sequences into living cells. This is an exciting prospect for the field of industrial biotechnology, which aims at using microorganisms to produce foods, beverages, pharmaceuticals and fine- and bulk chemicals in a sustainable fashion...
doctoral thesis 2017
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Mahfouz, A.M.E.T.A. (author)
doctoral thesis 2016
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Babaei, S. (author)
Cancer is a complex disease that results from alterations in genes that control the growth and division mechanisms of the cell. Identifying cancer-associated genes and pathways through which these genes influence cellular function is the key challenge in cancer re- search. This thesis proposes novel computational approaches that integrate data...
doctoral thesis 2015
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Plasencia Calaña, Y. (author)
Automatic pattern classification for a given problem domain aims at assigning a class or category membership to a new unseen object from the same domain. This is performed in three main stages: data preprocessing, representation and classification. The data preprocessing highly depends on the data type (e.g. images, signals) which makes its...
doctoral thesis 2015
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Saygili, G. (author)
Depth extraction is one of the important steps of $3$D computer vision (CV). Although, it has been researched for many decades and there are variety of methods already that addresses depth extraction, there is no perfect solution that satisfies the needs of all CV algorithms. Stereo vision is implemented in CV as a matching algorithm where an...
doctoral thesis 2015
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Cheplygina, V. (author)
Multiple instance learning (MIL) is an extension of supervised learning where the objects are represented by sets (bags) of feature vectors (instances) rather than individual feature vectors. For example, an image can be represented by a bag of instances, where each instance is a patch in that image. Only bag labels are given, however, the...
doctoral thesis 2015
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Van den Berg, B.A. (author)
The development of high-throughput measurement techniques resulted in rapidlyincreasing amounts of biological data, which made computational methodsessential for biological research. Hence, the field of bioinformatics emergedthat since plays an important role in storing, making accessible, integrating,and analysing different types of biological...
doctoral thesis 2015
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Sontrop, H.M.J. (author)
Microarrays offer biologists an exciting tool that allows the simultaneous assessment of gene expression levels for thousands of genes at once. At the time of their inception, microarrays were hailed as the new dawn in cancer biology and oncology practice with the hope that within a decade diseases like breast cancer would be solved. Various...
doctoral thesis 2015
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Hulsman, M. (author)
Nowadays, with large amounts of data becoming available, solving biological quests is becoming more and more a data-driven activity. To support this, there is a need for tools that enable the integration of the many sources of data. This thesis presents several avenues that can be taken, showing how integration can support research in the life...
doctoral thesis 2014
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Cardoso de Araujo, S.F. (author)
Data integration is a broad area encompassing techniques to merge data between data sources. Although there are plenty of efficient and effective methods focusing on data integration over homogeneous data, where instances share the same schema and range of values, their applications over heterogeneous data are less clear. This thesis considers...
doctoral thesis 2014
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Nijkamp, J.F. (author)
Microorganisms are employed on a large scale in a variety of industrial production processes, such as production of food and ingredients, beverages, pharmaceutical compo- nents and fine- and bulk chemicals. Improving the behaviour of these microorganisms is of crucial importance in the design of efficient production processes. In this thesis we...
doctoral thesis 2013
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Porro Munoz, D. (author)
For many pattern recognition applications, objects are represented by high-dimensional feature vectors, as the result of measurements that are taken from them. Such is the case of spectral data, which is commonly represented by sampling, as a set of individual observations, ignoring the continuous nature of the original data. However, for a...
doctoral thesis 2013
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Huo, F. (author)
In the last decade, computer vision has drawn more and more attention because of its potential applications in our daily lives, such as health care, education, safety, and training. However the high complexity of many of the vision-based approaches hinders their practical applications, especially in applications where immediate feedback is...
doctoral thesis 2013
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Li, Y. (author)
Scale is an important parameter of images. Different objects or image structures (e.g. edges and corners) can appear at different scales and each is meaningful only over a limited range of scales. Multi-scale analysis has been widely used in image processing and computer vision, serving as the basis for many high-level image analysis systems....
doctoral thesis 2013
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Meuleman, W. (author)
The work in this thesis is concerned with two very distinct biological fields. The first part pertains to the development of techniques to aid in the search for clinical biomarkers for use in the early detection of cancer. The second part aims to elucidate in what way a genome is organised in a cell nucleus and the functional consequences of...
doctoral thesis 2012
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Klijn, C.N. (author)
Cancer is a genetic disease. Step-wise alteration of genes that have a normal function in the cell can lead to the transformation of a healthy cell into a malignant cancer cell. Cancer genes provide several traits to the cell that allow it to become malignant. These traits have been researched for many years, and currently one knows quite well...
doctoral thesis 2011
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De Ridder, J. (author)
Advances in the field of molecular biology have resulted in a decent understanding of the causes for and mechanisms through which healthy cells can develop into cancer cells. It is, for instance, well established that cancer is caused by mutation of so-called cancer genes. That said, current knowledge on exactly which genes can function as a...
doctoral thesis 2011
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Clements, M. (author)
On many websites users can personally contribute information, ranging from short text messages to photos and videos. Users can see the information contributed by others and respond to it. These social media actively engage their community in the structuring of the collection by making use of collaborative annotation methods. Next to an improved...
doctoral thesis 2010
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Van Berlo, R.J.P. (author)
Bioinformatics concerns itself with developing data-driven tools for extracting biological information from high-throughput datasets (e.g. gene expression data, protein interaction data). Until recently, most of these tools focus on analyzing a single source of data. However, all high-throughput measurements are noisy and incomplete. Therefore,...
doctoral thesis 2010
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