Tag: GBM

Targeted inhibition of ubiquitin signaling reverses metabolic reprogramming and suppresses glioblastoma growth

Cell culture Human glioblastoma cells (U87MG and U87MG-Luc) and human embryonic kidney cells (HEK293) were obtained from the American Type Culture Collection (Manassas, Va.). Cells were cultured in Dulbecco’s Modified Eagle Medium supplemented with 10% fetal bovine serum (Gibco™ Fetal Bovine Serum South America, Thermo Scientific Fisher-US), 2 mM l-glutamine, 50 U/ml…

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New glioma drug may represent a paradigm for designing therapeutics exploiting specific DNA repair

A new class of glioma drugs exploits tumors that lack the DNA repair enzyme MGMT; the drugs lead to the generation of cytotoxic DNA and selectively kill tumor cells without the risk of resistance, researchers report. The new approach may lead to new glioma treatments and may represent a new…

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Roles of circRNAs | CMAR

Introduction Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, with an increasing global incidence, and a leading cause of cancer-related mortality.1 Although hepatitis B and C virus infections, cirrhosis, alcohol intake, and non-alcoholic fatty liver disease (NAFLD) are the main risk factors contributing to HCC.1,2 Approximately…

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Role of CD68 in tumor immunity and prognosis prediction in pan-cancer

Expression of CD68 in pan-cancer First, to fully clarify the expression of CD68 in pan-cancer, we matched the GTEx normal samples with TCGA tumor samples (Fig. 1A). We found that the levels of CD68 were significantly elevated (P < 0.01) in colon adenocarcinoma (COAD), glioblastoma multiforme (GBM), kidney renal clear cell carcinoma (KIRC),…

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Frontiers | COMMD2 Upregulation Mediated by an ncRNA Axis Correlates With an Unfavorable Prognosis and Tumor Immune Infiltration in Liver Hepatocellular Carcinoma

Introduction Liver hepatocellular carcinoma (LIHC) is the most common type of primary cancer in the liver and third leading cause of cancer-related mortality worldwide (1). Although substantial improvements have been made in LIHC therapy, particularly in molecular targeted therapy and immunotherapy (2, 3), the 5-year survival rate of LIHC is…

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Bioconductor – branchpointer

DOI: 10.18129/B9.bioc.branchpointer     Prediction of intronic splicing branchpoints Bioconductor version: Release (3.14) Predicts branchpoint probability for sites in intronic branchpoint windows. Queries can be supplied as intronic regions; or to evaluate the effects of mutations, SNPs. Author: Beth Signal Maintainer: Beth Signal <b.signal at garvan.org.au> Citation (from within R,…

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H2O is an in-memory platform for distributed, scalable machine learning

H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Flow notebook/web interface, and works seamlessly with big data technologies like Hadoop and Spark. H2O provides implementations of many popular algorithms such as Generalized Linear Models (GLM), Gradient…

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Index of /runs/gdc/report_2018_02_16

Name Last modified Size Description Parent Directory   –   TCGA-ACC.2018_02_16.diced_metadata.tsv 2018-02-16 01:06 250K   TCGA-ACC.2018_02_16.high_res.heatmap.png 2018-02-16 01:08 73K   TCGA-ACC.2018_02_16.low_res.heatmap.png 2018-02-16 01:08 37K   TCGA-ACC.2018_02_16.sample_counts.tsv 2018-02-16 01:06 142   TCGA-BLCA.2018_02_16.diced_metadata.tsv 2018-02-16 01:06 1.2M   TCGA-BLCA.2018_02_16.high_res.heatmap.png 2018-02-16 01:08 90K   TCGA-BLCA.2018_02_16.low_res.heatmap.png 2018-02-16 01:08 53K   TCGA-BLCA.2018_02_16.sample_counts.tsv 2018-02-16 01:06 201  …

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Bioconductor – MLInterfaces

    This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see MLInterfaces. Uniform interfaces to R machine learning procedures for data in Bioconductor containers Bioconductor version: 3.3 This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers. Author:…

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The Choice Of Most Champions

In this article, we’ll learn about XGBoost, its background, its widely accepted usage in competitions such as Kaggle’s and help you build an intuitive understanding of it by diving into the foundation of this algorithm. XGBoost XGBoost is an algorithm that is highly flexible, portable, and efficient which is based on a decision tree for ensemble learning…

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Bioconductor – MethPed

    This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see MethPed. A DNA methylation classifier tool for the identification of pediatric brain tumor subtypes Bioconductor version: 3.4 Classification of pediatric tumors into biologically defined subtypes is challenging and multifaceted approaches are needed. For…

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TCGA Agilent level 2 to level 3

TCGA Agilent level 2 to level 3 0 Hi there, I’m struggling to find documentation about how TCGA aggregated probe level data to gene level data (level 2 to level 3) for the Agilent microarray gene expression datasets (for GBM). I’m asking because the values seem to have been log…

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