Tag: gsva

Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline

Software Figure preparation: CorelDRAW x8 (Corel); Bioinformatic analyses: R v 4.0.3 (R Foundation for Statistical Computing). Computational resources Analyses were run on a desktop computer with an Intel Core i9-10900L CPU (3.70 GHz, 10 cores, 20 threads) with 120 GB RAM running Windows 10 Pro (v21H2). Data preprocessing scRNA-seq data sets…

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Phenotypic plasticity and genetic control in colorectal cancer evolution

Sample preparation and sequencing The method of sample collection and processing is described in a companion article (ref. 23). Sequencing and basic bioinformatic processing of DNA-, RNA- and ATAC-seq data are included there as well. Gene expression normalization and filtering The number of non-ribosomal protein-coding genes on the 23 canonical chromosome pairs…

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Immune Infiltration and N(6)-Methyladenosine ncRNA Isoform Detection in Acute Lung Injury

Acute lung injury (ALI) is a severe form of sepsis that is associated with a high rate of morbidity and death in critically ill individuals. The emergence of ALI is the result of several factors at work. Case mortality rates might range from 40% to 70%. Researchers have discovered that…

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N6-methyladenosine modification of CENPK mRNA by ZC3H13 promotes cervical cancer stemness and chemoresistance | Military Medical Research

Bioinformatics analyses revealed the involvement of m6A modification in cervical cancer progression To better understand whether and how m6A regulators contribute to cervical cancer progression, we first identified 9 m6A writers (WTAP, ZC3H13, METTL3, METTL14, METTL16, VIRMA, RBM15B, RBM15, and CBLL1), 15 m6A readers (FMR1, hnRNPA2B1, hnRNPC, YTHDF1/2/3, YTHDC1/2, LRPPRC,…

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A hypoxia-related signature in lung squamous cell carcinoma

Introduction Lung cancer is the major leading cause of tumour-related deaths throughout the world, while lung squamous cell carcinoma (LUSC) as the second most common histological type of lung cancer.1 Each year, almost 1.8 million people are diagnosed with lung cancer worldwide and 400,000 of these die from LUSC.2,3 Due to…

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Bioconductor – TBSignatureProfiler (development version)

DOI: 10.18129/B9.bioc.TBSignatureProfiler     This is the development version of TBSignatureProfiler; for the stable release version, see TBSignatureProfiler. Profile RNA-Seq Data Using TB Pathway Signatures Bioconductor version: Development (3.15) Gene signatures of TB progression, TB disease, and other TB disease states have been validated and published previously. This package aggregates…

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GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data | BMC Bioinformatics

1. Van den Berge K, Hembach KM, Soneson C, Tiberi S, Clement L, Love MI, Patro R, Robinson MD. RNA sequencing data: Hitchhikers guide to expression analysis. Annu Rev Biomed Data Sci. 2019;2(1):139–73. doi.org/10.1146/annurev-biodatasci-072018-021255. Article  Google Scholar  2. Conesa A, Madrigal P, Tarazona S, Gomez-Cabrero D, Cervera A, McPherson A,…

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Identification of lipid metabolism-associated gene signature

Background Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer. Despite the dramatic improvement in breast cancer prognosis due to recent therapeutic advances, such as more effective adjuvant and neo-adjuvant chemotherapies, together with more radical and safer surgery, advances in early diagnosis and treatment over the…

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Classifiers for predicting coronary artery disease

Introduction Coronary artery disease (CAD) is a complex pathology associated with behavioral and environmental factors.1–3 CAD shows high prevalence and is associated with a high fatality rate among cardiovascular diseases. The main manifestations of CAD are stable or unstable angina pectoris and identifiable or unrecognized myocardial infarction.4 The main risk…

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Bioconductor – TBSignatureProfiler

DOI: 10.18129/B9.bioc.TBSignatureProfiler     This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see TBSignatureProfiler. Profile RA-Seq Data Using TB Pathway Signatures Bioconductor version: 3.12 Signatures of TB progression, TB disease, and other TB disease states have been created. This package makes it easy to…

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pughlab/inspire-genomics: Pan-cancer analysis of genomic and immune landscape profiles of metastatic solid tumors treated with pembrolizumab

Contents Serial circulating tumor DNA (ctDNA) monitoring is emerging as a non-invasive strategy to predict and monitor immune checkpoint blockade (ICB) therapeutic efficacy across cancer types. Yet, limited data exist to show the relationship between ctDNA dynamics and tumor genome and immune microenvironment in patients receiving ICB. Here, we present…

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Can I remove the control in differential expression analysis?

Hi there, Essentially, my experimental design is control vs treatment. Cells were sorted based on fluorescence, so there are 4 different “colors” of treated cells, i.e. red, green, green+red, and blue+green+red. I am interested in how the colors differ from one another. And, I have duplicates for all colors and…

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Bioconductor Forum

James W. MacDonald 57k 1 week, 5 days ago United States Answer: Biomart’s getBM returns no genes for an existing GO-term in grch38, and less the Michael Love 33k 1 week, 6 days ago United States Answer: Normalizing 5′ Nascent RNA-seq data to identify differentially expressed transcr Kevin Blighe 3.3k 2 weeks, 2 days ago Republic…

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Advice on organizing large GSVA heatmap

Advice on organizing large GSVA heatmap 1 Hi there, I wanted to get some advice on how you might make your heatmap easier to read. In my case, I generated a heatmap from GSVA data which I filtered to only include significant pathways, here. I wanted to see how each…

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GSVA R packages

GSVA R packages 1 Hello everyone, I’m trying to do a gene set varian analysis using R to detect a specific gene set signature of a specific pathway from 20 samples of RNA-seq. I have this files in BAM format but I don’t know what to do in order to…

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