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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
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Carcinoma, NeuroendocrinePhenotypeProstatic Neoplasms
- Access Rights
- Free to All
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Phenotyping tumor-immune microenvironment in vivo in skin cancer patients
- Authors
- Sahu, AditiByers, CandiceChandrani, PratikTembo, 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
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Basal Cell CarcinomaGene ExpressionImmunotherapyPhenotypeSkin Neoplasms
- Access Rights
- Free to All
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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
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Cluster AnalysisPhenotypeSingle-Cell AnalysisSoftware
- Access Rights
- Free to All