CaSTLe – Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments
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[1] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[2] Sara Ballouz,et al. Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor , 2018, Nature Communications.
[3] R. Sandberg,et al. Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells , 2014, Science.
[4] M. Elowitz,et al. Challenges and emerging directions in single-cell analysis , 2017, Genome Biology.
[5] Atul J. Butte,et al. Reference-based annotation of single cell transcriptomes identifies a profibrotic macrophage niche after tissue injury , 2018, bioRxiv.
[6] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[7] A. Brunet,et al. Single-Cell Transcriptomic Analysis Defines Heterogeneity and Transcriptional Dynamics in the Adult Neural Stem Cell Lineage. , 2017, Cell reports.
[8] A. Murphy,et al. RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes. , 2016, Cell metabolism.
[9] Nicola K. Wilson,et al. A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation. , 2016, Blood.
[10] Atul J. Butte,et al. Reference-based annotation of single cell transcriptomes identifies a profibrotic macrophage niche after tissue injury , 2018, bioRxiv.
[11] M. Hemberg,et al. scmap: projection of single-cell RNA-seq data across data sets , 2018, Nature Methods.
[12] Guocheng Yuan,et al. GiniClust: detecting rare cell types from single-cell gene expression data with Gini index , 2016, Genome Biology.
[13] Krishna R. Kalari,et al. Beta-Poisson model for single-cell RNA-seq data analyses , 2016, Bioinform..
[14] Vibhor Kumar,et al. CellAtlasSearch: a scalable search engine for single cells , 2018, Nucleic Acids Res..
[15] Fabian J Theis,et al. Single cells make big data: New challenges and opportunities in transcriptomics , 2017 .
[16] Luke Zappia,et al. Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database , 2017, bioRxiv.
[17] Aaron T. L. Lun,et al. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R , 2017, Bioinform..
[18] Evan Z. Macosko,et al. Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets , 2015, Cell.
[19] Evan Z. Macosko,et al. Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics , 2016, Cell.
[20] Robert Petryszak,et al. ArrayExpress update—simplifying data submissions , 2014, Nucleic Acids Res..
[21] Monika S. Kowalczyk,et al. Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells , 2015, Genome research.
[22] D. M. Smith,et al. Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes , 2016, Cell metabolism.
[23] Cole Trapnell,et al. Defining cell types and states with single-cell genomics , 2015, Genome research.
[24] Tal Shay,et al. JingleBells: A Repository of Immune-Related Single-Cell RNA–Sequencing Datasets , 2017, The Journal of Immunology.
[25] J. Marioni,et al. Heterogeneity in Oct4 and Sox2 Targets Biases Cell Fate in 4-Cell Mouse Embryos , 2016, Cell.
[26] Sean R. Davis,et al. NCBI GEO: archive for functional genomics data sets—update , 2012, Nucleic Acids Res..
[27] Nir Friedman,et al. Linking stochastic dynamics to population distribution: an analytical framework of gene expression. , 2006, Physical review letters.
[28] Salah Ayoub,et al. The Drosophila Embryo at Single Cell Transcriptome Resolution , 2017, bioRxiv.
[29] E. Marcotte,et al. Insights into the regulation of protein abundance from proteomic and transcriptomic analyses , 2012, Nature Reviews Genetics.