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Results Found: 4
  • 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
  • MiMSI

    Authors
    Jayakumaran, Gowtham
    Ziegler, John Scott
    Biederstedt, Evan
    Rana, Satshil
    Description

    Description from GitHub: "Microsatellite Instability (MSI) is a phenotypic measure of deficiencies in DNA mismatch repair (MMR) machinery. These deficiencies lead to replication slippage in microsatellite regions, resulting in varying lengths of deletions in tumor samples. Detecting proper MSI status with high sensitivity and specificity in cancer patients is a critical priority in clinical genomics,...

    Subject
    DNA Mismatch Repair
    High-Throughput Nucleotide Sequencing
    Microsatellite Instability
    Multiple-Instance Learning Algorithms
    Phenotype
    Software
    Access Rights
    Free to All