Πλοήγηση ανά Θέμα "High dimensionality"
Αποτελέσματα 1-6 από 6
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Clustering of high dimensional data streams
(2012)Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ... -
Ensemble classification through random projections for single-cell RNA-seq data
(2020)Nowadays, biomedical data are generated exponentially, creating datasets for analysis with ultra-high dimensionality and complexity. An indicative example is emerging single-cell RNA-sequencing (scRNA-seq) technology, which ... -
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data
(2022)We are going through the last years of the COVID-19 pandemic, where almost the entire research community has focused on the challenges that constantly arise. From the computational and mathematical perspective, we have to ... -
Single-cell regulatory network inference and clustering from high-dimensional sequencing data
(2019)We are in the big data era which has affected several domains including biomedicine and healthcare. This revolution driven by the explosion of biomedical data offers the potential for better understanding of biology and ... -
Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances
(2019)The recent advent in Next Generation Sequencing has created a huge data source which offers a great potential for elucidating complex disease mechanisms and biological processes. A recent technology is the single-cell RNA ... -
Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections
(2019)Recent sequencing technology breakthroughs have resulted in a dramatic increase in the amount of available sequencing data, enabling major scientific advances in biology and medicine. Nowadays, sequencing transcriptome ...