Analysis and correction of compositional bias in sparse sequencing count data - Kumar, M. Senthil; Slud, Eric V.; Okrah, Kwame; Hicks, Stephanie C.; Hannenhalli, Sridhar; Corrada Bravo, Héctor (BMC genomics, 2018)
Keywords: Algorithms; Analysis; Animal Genetics and Genomics; Bayes Theorem; Bayesian analysis; Bias; Biomedical and Life Sciences; Compositional bias; Computational Biology - methods; Count data; Data integration; Deoxyribonucleic acid; DNA; DNA sequencing; Empirical analysis; Empirical Bayes; Experiments; Gene expression; Genomics; High-Throughput Nucleotide Sequencing - methods; Hypothesis testing; Life Sciences; Metagenomics; Metagenomics - methods; Methodology; Methodology Article; Microarrays; Microbial Genetics and Genomics; Microbiota; Normalization; Oceans; Plant Genetics and Genomics; Proteomics; Rarefaction; RNA, Ribosomal, 16S - genetics; Scaling; Science; Selection bias; Transcriptomic methods; Empirical Bayes; Metagenomics; Count data; Absolute abundance; Data integration; Spike-in; Normalization; Compositional bias; scRNAseq