Pages that link to "Q35185544"
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The following pages link to Single-cell RNA-seq reveals dynamic paracrine control of cellular variation (Q35185544):
Displaying 50 items.
- Genetics and immunity in the era of single-cell genomics (Q26740484) (← links)
- Multi-OMICs and Genome Editing Perspectives on Liver Cancer Signaling Networks (Q26741086) (← links)
- Design and computational analysis of single-cell RNA-sequencing experiments (Q26751087) (← links)
- Single-cell sequencing in stem cell biology (Q26753145) (← links)
- Single-cell Transcriptome Study as Big Data (Q26766140) (← links)
- Single-cell transcriptome sequencing: recent advances and remaining challenges (Q26767451) (← links)
- Single-cell technologies are revolutionizing the approach to rare cells (Q26775923) (← links)
- Single-cell technologies to study the immune system (Q26778375) (← links)
- Therapeutic Potential of Hyporesponsive CD4(+) T Cells in Autoimmunity (Q26781243) (← links)
- Defining cell types and states with single-cell genomics (Q26782737) (← links)
- Detecting Antigen-Specific T Cell Responses: From Bulk Populations to Single Cells (Q26798132) (← links)
- The choroid plexus is modulated by various peripheral stimuli: implications to diseases of the central nervous system (Q26800095) (← links)
- Recent developments in cardiovascular genetics and genomics (Q26829774) (← links)
- Advances and applications of single-cell sequencing technologies (Q27004390) (← links)
- Adult mouse cortical cell taxonomy revealed by single cell transcriptomics (Q27311570) (← links)
- CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data (Q27318663) (← links)
- Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression (Q27320052) (← links)
- Single-cell RNA-Seq resolves cellular complexity in sensory organs from the neonatal inner ear. (Q27321172) (← links)
- Bacterial Internalization, Localization, and Effectors Shape the Epithelial Immune Response during Shigella flexneri Infection (Q27322660) (← links)
- Tools for Single-Cell Kinetic Analysis of Virus-Host Interactions (Q27334856) (← links)
- A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages (Q27336403) (← links)
- Signal transduction controls heterogeneous NF-κB dynamics and target gene expression through cytokine-specific refractory states (Q27340050) (← links)
- Writ large: Genomic dissection of the effect of cellular environment on immune response (Q28068327) (← links)
- Fourth Generation of Next-Generation Sequencing Technologies: Promise and Consequences (Q28068789) (← links)
- Interleukin-1 loop model for pathogenesis of Langerhans cell histiocytosis (Q28083455) (← links)
- Progenitor cell dysfunctions underlie some diabetic complications (Q28086990) (← links)
- Deciphering Transcriptional Dynamics In Vivo by Counting Nascent RNA Molecules (Q28607719) (← links)
- High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization (Q28822617) (← links)
- Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction (Q28829885) (← links)
- Microfluidics in systems biology-hype or truly useful? (Q30355085) (← links)
- Microfluidics for genome-wide studies involving next generation sequencing. (Q30359014) (← links)
- Multi-Scale Molecular Deconstruction of the Serotonin Neuron System. (Q30369622) (← links)
- Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing. (Q30378121) (← links)
- Vertical flow array chips reliably identify cell types from single-cell mRNA sequencing experiments. (Q30829464) (← links)
- Optogenetic perturbation and bioluminescence imaging to analyze cell-to-cell transfer of oscillatory information (Q30845466) (← links)
- Spatial reconstruction of single-cell gene expression data (Q30930652) (← links)
- Processing, visualising and reconstructing network models from single-cell data. (Q31024831) (← links)
- MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Q31031428) (← links)
- OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data (Q31035865) (← links)
- Low Dimensionality in Gene Expression Data Enables the Accurate Extraction of Transcriptional Programs from Shallow Sequencing (Q31089031) (← links)
- SCOUP: a probabilistic model based on the Ornstein-Uhlenbeck process to analyze single-cell expression data during differentiation (Q31106549) (← links)
- FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data (Q31123178) (← links)
- ImpulseDE: detection of differentially expressed genes in time series data using impulse models (Q31140119) (← links)
- A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor. (Q31146507) (← links)
- LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering. (Q31150071) (← links)
- CNBP acts as a key transcriptional regulator of sustained expression of interleukin-6. (Q33557659) (← links)
- Proximity-Based Differential Single-Cell Analysis of the Niche to Identify Stem/Progenitor Cell Regulators (Q33594569) (← links)
- Single-cell genomic profiling of acute myeloid leukemia for clinical use: A pilot study. (Q33597945) (← links)
- DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data. (Q33722023) (← links)
- Single-cell RNA-sequencing of the brain (Q33780520) (← links)