Machine learning-based tools to model and to remove the off-target effect
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The present invention relates to a bicistronic expression vector for silencing a gene specifically in astrocytes and neurons, comprising two expression cassettes comprising a first and a second silencer sequence, respectively, wherein the expression of sai ...
Autophagy is a cytosolic quality control process that recognizessubstrates through receptor-mediated mechanisms. Procollagens,the most abundant gene products in Metazoa, are synthesized inthe endoplasmic reticulum (ER), and a fraction that fails to attaint ...
DNA methylation (DNAm) is one of the most frequently studied epigenetic mechanisms facilitating the interplay of genomic and environmental factors, which can contribute to externalizing behaviours and related psychiatric disorders. Previous epigenome-wide ...
Analysis of single-cell datasets generated from diverse organisms offers unprecedented opportunities to unravel fundamental evolutionary processes of conservation and diversification of cell types. However, interspecies genomic differences limit the joint ...
The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...
The impact of host genetic variation on determining the differential outcomes after HIV infection has been studied by two approaches: targeting of candidate genes and genome-wide association studies (GWASs). The overlap in genetic variants that has been id ...
Genome-wide manipulations and measurements have made huge progress over the last decades. In Saccharomyces cerevisiae, a well-studied eukaryotic model organism, homologous recombination allows for systematic deletion or alteration of a majority of its gene ...
The present invention relates to an agent or composition comprising at least one of: (i) a micro-RNA targeting a mitophagy-associated gene or a variant thereof, (ii) a vector comprising a nucleic acid encoding said micro-RNA or variant thereof, (iii) an in ...
RNA interference (RNAi) related pathways are essential for germline development and fertility in metazoa and can contribute to inter- and trans-generational inheritance. In the nematode Caenorhabditis elegans, environmental double-stranded RNA provided by ...
The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...