Miscell: An efficient self-supervised learning approach for dissecting single-cell transcriptome
Hongru Shen, Yang Li, Mengyao Feng, Xilin Shen, Dan Wu, Chao Zhang, Yichen Yang, Meng Yang, Jiani Hu, Jilei Liu, Wei Wang, Qiang Zhang, Fangfang Song, Jilong Yang, Kexin Chen, Xiangchun Li
Abstract
-measure score. Miscell can identify cell-type specific markers by quantifying the influence of genes on cell clusters via deep learning approach.
Topics & Concepts
Artificial intelligenceMargin (machine learning)Computer scienceCluster analysisDeep learningIdentification (biology)Rand indexFeature (linguistics)Pattern recognition (psychology)Machine learningTranscriptomeAutoencoderComputational biologyData miningGeneBiologyGeneticsGene expressionPhilosophyBotanyLinguisticsSingle-cell and spatial transcriptomicsExtracellular vesicles in diseaseImmune cells in cancer