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Results Found: 3
  • Neuroendocrine prostate cancer models

    Description

    Expression profiling by high throughput sequencing Methylation profiling by high throughput sequencing Summary: This SuperSeries is composed of the following SubSeries: GSE112786: "Molecular characterization of neuroendocrine prostate cancer organoids and PDOX by RNA-seq GSE112829: Methylation profile of neuroendocrine prostate cancer models. Both of the SubSeries concerns information neuroendocrine...

    Subject
    Carcinoma, Neuroendocrine
    Phenotype
    Prostatic Neoplasms
    Access Rights
    Free to All
  • Phenotyping tumor-immune microenvironment in vivo in skin cancer patients

    Authors
    Sahu, Aditi
    Byers, Candice
    Chandrani, Pratik
    Tembo, Teguru C.
    1 more author(s)...
    Description

    Summary from GEO: "Phenotyping of tumors into hot, altered, or cold based on assessment of only T-cell infiltration in static tumor biopsies provides suboptimal prediction of immunotherapy response. In vivo dynamic mechanisms within the tumor microenvironment such as tumor angiogenesis and leukocyte trafficking also play a central role in modulating anti-tumor immunity and therefore immunotherapy...

    Subject
    Basal Cell Carcinoma
    Gene Expression
    Immunotherapy
    Phenotype
    Skin Neoplasms
    Access Rights
    Free to All
  • Phenograph for Python3

    Authors
    Levine, Jacob H.
    Simonds, Erin F.
    Bendall, Sean C.
    Davis, Kara L.
    12 more author(s)...
    Description

    Description from GitHub: "PhenoGraph is a clustering method designed for high-dimensional single-cell data. It works by creating a graph ("network") representing phenotypic similarities between cells and then identifying communities in this graph. This software package includes compiled binaries that run community detection based on C++ code written by E. Lefebvre and J.-L. Guillaume in 2008 ("Louvain...

    Subject
    Cluster Analysis
    Phenotype
    Single-Cell Analysis
    Software
    Access Rights
    Free to All