Robust principal component analysis for accurate outlier sample detection in RNA-Seq data - Chen, Xiaoying; Zhang, Bo; Wang, Ting; Bonni, Azad; Zhao, Guoyan (BMC bioinformatics, 2020)
Keywords: Algorithms; Analysis; Animals; Bias; Cerebellum; Cerebellum - metabolism; Chemometrics; Computer simulation; Data acquisition; Data analysis; Data points; Data processing; Datasets; Experiments; Female; Functional analysis; Gene expression; Gene sequencing; Genes; High-dimensional data; Information management; Male; Mice, Knockout; Modelling; Multivariate analysis; Outlier detection; Outliers (statistics); PcaGrid; PcaHubert; Performance enhancement; Performance evaluation; Principal Component Analysis; Principal components analysis; Proto-Oncogene Proteins - genetics; Reverse Transcriptase Polymerase Chain Reaction; Reverse transcription; Ribonucleic acid; RNA; RNA sequencing; RNA-seq; RNA-Seq - methods; Robust principal component analysis; Sample variance; Samples; Simulation; Statistical analysis; Statistical methods; Transcription (Genetics); High-dimensional data; Robust principal component analysis; RNA-seq; Outlier detection; Anomaly detection; PcaGrid; PcaHubert