Machine learning and statistical methods for clustering single-cell RNA-sequencing data
Sign Up to like & getrecommendations! Published in 2020 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbz063
Abstract: Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-transcriptome profiling of each individual single cell in a cell population. A core analysis of the scRNA-seq transcriptome profiles is to cluster the single cells to reveal… read more here.
Keywords: single cell; scrna seq; learning statistical; machine learning ... See more keywords
Machine learning and statistical inference in microbial population genomics
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DOI: 10.1186/s13059-025-03775-4
Abstract: The availability of large genome datasets has changed the microbiology research landscape. Analyzing such data requires computationally demanding analyses, and new approaches have come from different data analysis philosophies. Machine learning and statistical inference have… read more here.
Keywords: learning statistical; machine; machine learning; statistical inference ... See more keywords
Forecasting under applying machine learning and statistical models
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DOI: 10.2298/tsci20s1131e
Abstract: In a different area of a field of the real life, problem of accurate forecasting has acquired great importance that present the interesting serve which led to the best ways to achieve a goal. So,… read more here.
Keywords: machine learning; applying machine; learning statistical; models forecasting ... See more keywords