5,106 Matching Annotations
- Oct 2021
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the-turing-way.netlify.com the-turing-way.netlify.com
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Finally, while Conda is Python-centric to a degree, it is also well-integrated for use with other languages. For example, the base version of Conda includes the C++ standard library.
renv works really well for projects in R, by the way: https://rstudio.github.io/renv/articles/renv.html
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plato.stanford.edu plato.stanford.edu
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. Division by non-essentials involves dividing a prior differentia-class by means of an unrelated difference. For example, you might first divide animals into winged and wingless, and then winged animals into wild and tame.
That notion is very similar to the genus-differentia recommended for modelling of computational ontologies: https://philpapers.org/archive/SEPGFW.pdf
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- May 2021
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europepmc.org europepmc.org
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tissue immunity
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stromal–immune interactions
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inflammation
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oral mucosal homeostasis
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atlas
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periodontitis
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stromal cell
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pattern
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damage-recognition receptors
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neutrophil
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fibroblast-expressed genes
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genetic mutations
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periodontitis
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Mendelian
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mucosal immunity
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neutrophil
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stromal
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neutrophil
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recruitment of leukocytes
Q106892837
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hyper-responsiveness
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fibroblast
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stromal
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recruitment of neutrophils
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immune homeostasis
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fibroblasts
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CXCL1,2,8- expressing epithelial cells
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health
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gingival mucosa.
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disease
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tissue homeostasis
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immune responsiveness
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stromal cells
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intercellular communication
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immune cell
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stromal
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transcriptional diversity
transcriptional diversity
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work
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periodontitis
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health
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oral mucosal tissues
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human
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single-cell transcriptome atlas
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cellular level
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environment
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periodontitis
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human microbe-triggered inflammatory diseases
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tissue
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pathogens
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commensals
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antigens
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barrier tissue
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oral mucosa
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data
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gene regulation
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disease heritability
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within sc-end5-seq
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alternative promoter usage
Q106878405
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chromatin accessibility
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aCRE
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accessible CRE
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tCREs
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single cells
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tCREs
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oligo(dT) priming
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random
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sc-end5-seq
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enhancer RNAs
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cost
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assay
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enhancer activities
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quantification
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gene expression
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transcribed CREs (tCREs)
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single-cell RNA-5′end-sequencing
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genetic predisposition to diseases
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gene regulation
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cell-state
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cell-type
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single cells
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promoters
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enhancers
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cis -regulatory elements (CREs,
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disease
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homeostasis
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development
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intestinal cells
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inflammation
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immune cells
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nflammatory bowel disease
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early human development
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secondary lymphoid tissue formation
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cell lineages
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systems approach
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disease-associated genes
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cell-type specific expression
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Hirschsprung’s disease
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developing enteric nervous system
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cell populations
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neuronal cell
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glial
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inflammatory bowel disease
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pathogenesis
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intestinal tuft cells
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function
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IgG sensing
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colon
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cell type
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human intestinal tract,
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BEST4+ absorptive cells
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VDJ analysis
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singlecell RNA-seq
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anatomical regions,
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healthy
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pediatric
pediatric human gut
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adult human gut
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developing
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cell lineages
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utero
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human intestinal tract
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europepmc.org europepmc.org
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prevention strategies
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therapeutic interventions
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human body
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dataset
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biological
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SARS-CoV-2 infection
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COVID-19 cell atlas
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disease severity
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genes
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cell types
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transcriptomic data
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GWAS
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genetic regions
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COVID-19
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tissues
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COVID-19
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viral RNA
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tissue host responses
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in situ
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spatial analysis of RNA profiles
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lung tissue
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transcriptional programs
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host response
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cells
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endothelial cells
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lung mononuclear phagocytic cells
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reads
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SARS-CoV-2 RNA
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lungs
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epithelium
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regeneration
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H1N1 influenza
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cells
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TP63 + intrapulmonary basal-like progenitor (IPBLP) cells
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tissue repair
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myofibroblasts
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fibrosis
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alveolar type 1 (AT1) lung epithelial cells
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alveolar type 2 (AT2) differentiation
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healthy controls
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lung tissue
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cell types
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cell intrinsic
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stromal
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immune
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epithelial
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transcriptional programs
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lung
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atlases
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diseased tissue
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healthy
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automated cell type annotation
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ambient RNA
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computational framework
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lung regions
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spatial RNA profiling
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heart tissues
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liver
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kidney
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lung
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single-nucleus RNA-Seq
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single-cell
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COVID-19 biology
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cellular maps
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specimens
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tissue bank
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COVID-19
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individuals
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clinical autopsy
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organs
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tissues
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lethality
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symptoms
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infection
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viruses
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lethal SARS-CoV-2 infection
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molecular dynamics
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mortality
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COVID-19
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