Quantitative single-cell RNA-seq with unique molecular identifiers

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8. scANANSE gene regulatory network and motif analysis of single-cell clusters
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9. Ultrasensitive sequencing of STR markers utilizing unique molecular identifiers and the SiMSen-Seq method
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10. Detection of mRNA Transcript Variants
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13. Single-cell RNA sequencing: An overview for the ophthalmologist
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14. Single-cell transcriptomics in the context of long-read nanopore sequencing
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15. Reproducibility of 10x Genomics single cell RNA sequencing method in the immune cell environment
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16. DSAE-Impute: Learning Discriminative Stacked Autoencoders for Imputing Single-cell RNA-seq Data
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17. Single-cell RNA-sequencing data analysis reveals a highly correlated triphasic transcriptional response to SARS-CoV-2 infection
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18. Single-Cell Transcriptome Analysis of Developing and Regenerating Spiral Ganglion Neurons
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19. Iterative Systems Biology for Medicine – Time for advancing from network signatures to mechanistic equations
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20. From transcriptional complexity to cellular phenotypes: Lessons from yeast
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21. Reproducibility across single-cell RNA-seq protocols for spatial ordering analysis
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22. Single-Cell Transcriptome Profiling
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23. Recent Progress in Cardiovascular Research Involving Single-Cell Omics Approaches
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24. MAPS-seq: magnetic bead-assisted parallel single-cell gene expression profiling
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25. TBX3 is dynamically expressed in pancreatic organogenesis and fine-tunes regeneration
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26. Decoding Vascular Cell Diversity: Single-Cell Approaches to Mechanisms of Vascular Disease
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27. Recent revelations and future directions using single-cell technologies in chronic lymphocytic leukemia
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29. Digital RNA sequencing using unique molecular identifiers enables ultrasensitive RNA mutation analysis
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30. A Mechanistic Beta-Binomial Probability Model for mRNA Sequencing Data
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31. Vertical flow array chips reliably identify cell types from single-cell mRNA sequencing experiments
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32. Single-sperm sequencing reveals the accelerated mitochondrial mutation rate in male Daphnia pulex (Crustacea, Cladocera)
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33. Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing
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34. Application of multi-omics in single cells
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35. Development of a sequencing system for spatial decoding of DNA barcode molecules at single-molecule resolution
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36. Targeting the metastatic niche: Single-cell lineage tracing in prime time
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37. Fuzzysplit: demultiplexing and trimming sequenced DNA with a declarative language
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38. EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data
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39. Feature Selection for Topological Proximity Prediction of Single-Cell Transcriptomic Profiles in Drosophila Embryo Using Genetic Algorithm
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42. Quality assessment of single-cell RNA sequencing data by coverage skewness analysis
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43. Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
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44. FIRM: Flexible Integration of single-cell RNA-sequencing data for large-scale Multi-tissue cell atlas datasets
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45. scTsI: an effective two-stage imputation method for single-cell RNA-seq data
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46. Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data
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47. Exploring single-cell RNA sequencing as a decision-making tool in the clinical management of Fuchs’ endothelial corneal dystrophy
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48. Analysis of MicroRNA Regulation and Gene Expression Variability in Single Cell Data
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49. Bulk and Single-Cell RNA-Seq Analyses for Studies of Spermatogonia
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50. Integration of single-cell transcriptome and chromatin accessibility and its application on tumor investigation
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51. Single‐Cell Transcriptomic Analysis
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52. Single‐cell RNA Sequencing Contributes to the Treatment of Acute Myeloid Leukaemia With Hematopoietic Stem Cell Transplantation, Chemotherapy, and Immunotherapy
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53. Immunopipe: a comprehensive and flexible scRNA-seq and scTCR-seq data analysis pipeline
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54. Single-cell multiomics reveals the oscillatory dynamics of mRNA metabolism and chromatin accessibility during the cell cycle
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55. Reconstructing and analysing cellular states, space and time from gene expression profiles of many cells and single cells
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56. RNA Sequencing from Laser Capture Microdissected Brain Tissue to Study Normal Aging and Alzheimer’s Disease
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57. Single-Cell Transcriptome Analysis of Neural Stem Cells
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58. Combination of CRISPR-Cas9-RNP and Single-Cell RNAseq to Identify Cell State-Specific FOXJ1 Functions in the Human Airway Epithelium
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59. SINGLE-CELL TRANSCRIPTOME ANALYSIS IN HEALTH AND DISEASE
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60. Single molecule counting and assessment of random molecular tagging errors with transposable giga-scale error-correcting barcodes
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61. Boosting the power of transcriptomics by developing an efficient gene expression profiling approach
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62. HLA RNAseq reveals high allele-specific variability in mRNA expression
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63. RISC: robust integration of single-cell RNA-seq datasets with different extents of cell cluster overlap
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64. Sort-purification of human CD34 + CD90 + cells reduces target cell population and improves lentiviral transduction for gene therapy
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65. Reply to: UMI or not UMI, that is the question for scRNA-seq zero-inflation
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66. Assessing genome-wide dynamic changes in enhancer activity during early mESC differentiation by FAIRE-STARR-seq
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68. Technologies and opportunities in cell-free RNA analysis for clinical diagnostics
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69. Single-cell transcriptome study in forensic medicine: prospective applications
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70. A Zwitterionic Detergent and Catalyst-Based Single-Cell Proteomics Using a Loss-Free Microhole-Collection Disc
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72. MAPPING NEURONAL CELL TYPES USING INTEGRATIVE MULTI-SPECIES MODELING OF HUMAN AND MOUSE SINGLE CELL RNA SEQUENCING
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77. Single-cell analysis in endometrial research
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78. GRACE: Graph autoencoder based single-cell clustering through ensemble similarity learning
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79. Prospects of Identifying Alternative Splicing Events from Single-Cell RNA Sequencing Data
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80. SuperFeat: Quantitative Feature Learning from Single-cell RNA-seq Data Facilitates Drug Repurposing
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83. Kinetic Models of Biochemical Signaling Networks
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84. Frequent and biased odorant receptor (OR) re-selection in an olfactory placode-derived cell line
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85. Yeast Single-cell RNA-seq, Cell by Cell and Step by Step
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86. Deep generative autoencoder for low-dimensional embeding extraction from single-cell RNAseq data
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87. The Application of Single-Cell Sequencing in Dynamic Transcriptomes
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88. From DNA to Data: Transcending Beyond the Double Helix and Demystifying the Genetic Alchemy of Life Through NGS to Empower Precision Medicine
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89. Mapping Human Hematopoietic Hierarchy at Single Cell Resolution by Microwell-seq
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