Sfoglia per Soggetto "Random projections"
Items 1-6 di 6
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Biomedical Data Ensemble Classification using Random Projections
(2019)Biomedicine is undergoing a revolution driven by the explosion of biomedical data, which are generated by emerged medical imaging, sensor technologies and high-throughput technologies. An indicative example is the single ... -
Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces
(2019)We are in the era of single-cell RNA sequencing technology, which offers a great potential for uncovering cellular differences with a higher resolution, shedding light in various complex biological processes and 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 ... -
RLAC: Random Line Approximation Clustering
(2021)We explore how Random Projections can be used as an Approximate method for Projection Pursuit Clustering in high dimensional data. Traditional data transformations such as PCA for dimensionality reduction have been shown ... -
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-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 ...