[1] |
PAPALEXI E, SATIJA R. Single-cell RNA sequencing to explore immune cell heterogeneity[J]. Nature Reviews Immunology, 2018, 18(1): 35-45.
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[2] |
RANTALAINEN M. Application of single-cell sequencing in human cancer[J]. Briefings in Functional Genomics, 2018, 17(4): 273-282.
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[3] |
POTTER S S. Single-cell RNA sequencing for the study of development, physiology and disease[J]. Nature Reviews Nephrology, 2018, 14(8): 479-492.
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[4] |
SVENSSON V, VENTOTORMO R, TEICHMANN S A, et al. Exponential scaling of single-cell RNA-seq in the past decade[J]. Nature Protocols, 2018, 13(4): 599-604.
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[5] |
VILLANI A, SATIJA R, REYNOLDS G, et al. Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors[J]. Science, 2017: 356(6335).
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[6] |
GRUN D, LYUBIMOVA A, KESTER L, et al. Single-cell messenger RNA sequencing reveals rare intestinal cell types[J]. Nature, 2015, 525(7568): 251-255.
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[7] |
TIROSH I, IZAR B, PRAKADAN S, et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq[J]. Science, 2016, 352(6282): 189-196.
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[8] |
KERENSHAUL H, SPINRAD A, WEINER A, et al. A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease[J]. Cell, 2017, 169(7): 1276-1290.
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[9] |
DUO A, ROBINSON M D, SONESON C, et al. A systematic performance evaluation of clustering methods for single-cell RNA-seq data[J]. F1000Research, 2018.
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[10] |
KAKUSHADZE Z, YU W. *K-Means and Cluster Models for Cancer Signatures[J]. Biomolecular Detection and Quantification, 2017: 7-31.
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[11] |
SHLENS J. A tutorial on principal component analysis[J]. arXiv: Learning, 2014.
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[12] |
CUTLER D R, EDWARDS T C, BEARD K H, et al. Random forests for classification in ecology[J]. Ecology, 2007, 88(11): 2783-2792.
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[13] |
CHEN P, LIN C, SCHOLKOPF B, et al. A tutorial on v-support vector machines[J]. Applied Stochastic Models in Business and Industry, 2005, 21(2): 111-136.
|
[14] |
CUCCHIARA A, HOSMER D, LEMESHOW S. Applied logistic regression[J]. Technometrics, 1992, 34(3):358.
|
[15] |
FREYTAG S, TIAN L, LONNSTEDT I, et al. Comparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing data[J]. 1000Research, 2018.
|
[16] |
ZHANG X, LAN Y, XU J, et al. CellMarker: A manually curated resource of cell markers in human and mouse[J]. Nucleic Acids Research, 2019.
|
[17] |
ZHOU Z H. Machine Learning[M]. Beijing: Tsinghua University Press, 2016:78-181.
|
[18] |
ZHANG X, MALLICK H, TANG Z, et al. Negative binomial mixed models for analyzing microbiome count data[J]. BMC Bioinformatics, 2017:18(1).
|
[19] |
SHIN S, PARK J S, KIM Y, et al. Differential gene expression profile in PBMCs from subjects with AERD and ATA: A gene marker for AERD[J]. Molecular Genetics and Genomics, 2012, 287(5): 361-371.
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[23] |
CHAWLA N V, BOWYER K W, HALL L O, et al. SMOTE: Synthetic minority over- sampling technique[J]. Journal of Artificial Intelligence Research, 2002, 16(1): 321-357. )
|
[1] |
PAPALEXI E, SATIJA R. Single-cell RNA sequencing to explore immune cell heterogeneity[J]. Nature Reviews Immunology, 2018, 18(1): 35-45.
|
[2] |
RANTALAINEN M. Application of single-cell sequencing in human cancer[J]. Briefings in Functional Genomics, 2018, 17(4): 273-282.
|
[3] |
POTTER S S. Single-cell RNA sequencing for the study of development, physiology and disease[J]. Nature Reviews Nephrology, 2018, 14(8): 479-492.
|
[4] |
SVENSSON V, VENTOTORMO R, TEICHMANN S A, et al. Exponential scaling of single-cell RNA-seq in the past decade[J]. Nature Protocols, 2018, 13(4): 599-604.
|
[5] |
VILLANI A, SATIJA R, REYNOLDS G, et al. Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors[J]. Science, 2017: 356(6335).
|
[6] |
GRUN D, LYUBIMOVA A, KESTER L, et al. Single-cell messenger RNA sequencing reveals rare intestinal cell types[J]. Nature, 2015, 525(7568): 251-255.
|
[7] |
TIROSH I, IZAR B, PRAKADAN S, et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq[J]. Science, 2016, 352(6282): 189-196.
|
[8] |
KERENSHAUL H, SPINRAD A, WEINER A, et al. A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease[J]. Cell, 2017, 169(7): 1276-1290.
|
[9] |
DUO A, ROBINSON M D, SONESON C, et al. A systematic performance evaluation of clustering methods for single-cell RNA-seq data[J]. F1000Research, 2018.
|
[10] |
KAKUSHADZE Z, YU W. *K-Means and Cluster Models for Cancer Signatures[J]. Biomolecular Detection and Quantification, 2017: 7-31.
|
[11] |
SHLENS J. A tutorial on principal component analysis[J]. arXiv: Learning, 2014.
|
[12] |
CUTLER D R, EDWARDS T C, BEARD K H, et al. Random forests for classification in ecology[J]. Ecology, 2007, 88(11): 2783-2792.
|
[13] |
CHEN P, LIN C, SCHOLKOPF B, et al. A tutorial on v-support vector machines[J]. Applied Stochastic Models in Business and Industry, 2005, 21(2): 111-136.
|
[14] |
CUCCHIARA A, HOSMER D, LEMESHOW S. Applied logistic regression[J]. Technometrics, 1992, 34(3):358.
|
[15] |
FREYTAG S, TIAN L, LONNSTEDT I, et al. Comparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing data[J]. 1000Research, 2018.
|
[16] |
ZHANG X, LAN Y, XU J, et al. CellMarker: A manually curated resource of cell markers in human and mouse[J]. Nucleic Acids Research, 2019.
|
[17] |
ZHOU Z H. Machine Learning[M]. Beijing: Tsinghua University Press, 2016:78-181.
|
[18] |
ZHANG X, MALLICK H, TANG Z, et al. Negative binomial mixed models for analyzing microbiome count data[J]. BMC Bioinformatics, 2017:18(1).
|
[19] |
SHIN S, PARK J S, KIM Y, et al. Differential gene expression profile in PBMCs from subjects with AERD and ATA: A gene marker for AERD[J]. Molecular Genetics and Genomics, 2012, 287(5): 361-371.
|
[23] |
CHAWLA N V, BOWYER K W, HALL L O, et al. SMOTE: Synthetic minority over- sampling technique[J]. Journal of Artificial Intelligence Research, 2002, 16(1): 321-357. )
|