- Personalized microbiome dynamics − Cytometric fingerprints for routine diagnostics
- Microfluidic single-cell technology in immunology and antibody screening
- Identifying cell populations with scRNASeq
- Single-cell Transcriptome Study as Big Data
- Machine Learning and Statistical Methods for Clustering Single-cell RNA-sequencing Data
- Promoting human rights through science
- Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data [version 3; peer review: 2 approved, 1 approved with reservations]
- A Fantastic Voyage in Genomics
- Single-cell transcriptomics to explore the immune system in health and disease
- The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
- Single-cell epigenomics: Recording the past and predicting the future
- The Rydberg constant and proton size from atomic hydrogen
- Trispecific broadly neutralizing HIV antibodies mediate potent SHIV protection in macaques
- A Fermi-degenerate three-dimensional optical lattice clock
- Spatiotemporal mode-locking in multimode fiber lasers
- Segregation-induced ordered superstructures at general grain boundaries in a nickel-bismuth alloy
- Long-term pattern and magnitude of soil carbon feedback to the climate system in a warming world
- Interactions between brain and spinal cord mediate value effects in nocebo hyperalgesia
- Aworldwide survey of neonicotinoids in honey
- Visualizing the function and fate of neutrophils in sterile injury and repair
- Fibril structure of amyloid-β(1–42) by cryo–electron microscopy
- Mitotic transcription and waves of gene reactivation during mitotic exit
- Residual DNA Quantification Kits
- Hard data and human empathy
- Sensei: How many samples to tell evolution in single-cell studies?
- Single cell transcriptomics: methods and applications
- Comparison of computational methods for imputing single-cell RNA-sequencing data
- A comparison of single-cell trajectory inference methods: towards more accurate and robust tools
- Even more from less for RNA
- Comparison of methods to detect differentially expressed genes between single-cell populations
- How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives
- Evaluation of single-cell classifiers for single-cell RNA sequencing data sets
- Bias, robustness and scalability in differential expression analysis of single-cell RNA-seq data
- The scientific swerve: Changing your research focus
- Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods
- Single Cell Analysis: From Technology to Biology and Medicine
- Comparative Analysis of Single-Cell RNA Sequencing Methods
- Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
- 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?
- Design and computational analysis of single-cell RNA-sequencing experiments
- OncoNEM: inferring tumor evolution from single-cell sequencing data
- Beyond comparisons of means: understanding changes in gene expression at the single-cell level
- The potential of single-cell profiling in plants
- Single-cell analysis of long non-coding RNAs in the developing human neocortex
- Single-cell profiling of lncRNAs in the developing human brain
- Tree inference for single-cell data
- In silico lineage tracing through single cell transcriptomics identifies a neural stem cell population in planarians
- CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
- Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways
- Single-cell sequencing in stem cell biology
- Single-cell epigenomics: powerful new methods for understanding gene regulation and cell identity
- Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma
- Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
- Simultaneous profiling of transcriptome and DNA methylome from a single cell
- Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation
- Single-cell genomics: coming of age
- Exploiting single-cell expression to characterize co-expression replicability
- Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts
- Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies
- SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data
- Single-cell whole genome sequencing reveals no evidence for common aneuploidy in normal and Alzheimer's disease neurons
- Computing tumor trees from single cells
- AirLab: a cloud-based platform to manage and share antibody-based single-cell research
- GiniClust: detecting rare cell types from single-cell gene expression data with Gini index
- Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome
- Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm
- Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction
- A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
- Tracing the origin of disseminated tumor cells in breast cancer using single-cell sequencing
- Gene expression during mitosis
- Climate and the carbon cycle
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"You say you're 'depressed' - all i see is resilience. You are allowed to feel messed up and inside out. It doesn't mean you're defective - it just means you're human."― David Mitchell