A Pattern-Mining Method for High-Throughput Lab-on-a-Chip Data Analysis
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There are 377 Krüppel-associated box (KRAB) domain-containing zinc finger proteins (KZFPs) in the human genome, making them the largest family of transcription factors. KZFPs are defined by a N-terminal KRAB domain and several zinc-finger domains arranged ...
The specific interaction between DNA and proteins constitutes one of the crucial elements in the regulation of gene expression. This thesis focuses on the development and optimization of two microfluidic-based technologies called SMiLE-seq and FloChIP that ...
The nematode Caenorhabditis elegans is an attractive model organism, owing notably to its short life cycle, genetic tractability, and optical transparency facilitating microscopic observation. This thesis deals with the realization of technological tools f ...
C. elegans is an attractive model organism in biology, as it shows genetic similarity with humans, facilitates microscopic observation due to its transparency, and has a short life cycle. Moreover, many mutants expressing fluorescent proteins in particular ...
Investigating the dynamic activities of protein expression and signaling in living organisms is a crucial focus of intense research aimed at elucidating the processes that underlie disease progression and improving treatments and drug development. Resolvin ...
As the volume of produced data is exponentially increasing, companies tend to rely on distributed systems to meet the surging demand for storage capacity. With the business workflows becoming more and more complex, such systems often consist of or are acce ...
Single-cell omics enables researchers to dissect biological systems at a resolution that was unthinkable just 10 years ago. However, this analytical revolution also triggered new demands in 'big data' management, forcing researchers to stay up to speed wit ...
Core to many scientific and analytics applications are spatial data capturing the position or shape of objects in space, and time series recording the values of a process over time. Effective analysis of such data requires a shift from confirmatory pipelin ...
Motivation: Unbiased clustering methods are needed to analyze growing numbers of complex data sets. Currently available clustering methods often depend on parameters that are set by the user, they lack stability, and are not applicable to small data sets. ...
There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex data sets. Topological data analysis (TDA) has been used to approach this problem. This recent field of mathematics discerns characteristic features of a space ...