Tag: heatmaps

Time-course RNASeq of Camponotus floridanus forager and nurse ant brains indicate links between plasticity in the biological clock and behavioral division of labor | BMC Genomics

1. Sharma VK. Adaptive significance of circadian clocks. Chronobiol Int. 2003;20(6):901–19. PubMed  Google Scholar  2. Paranjpe DA, Sharma VK. Evolution of temporal order in living organisms. J Circadian Rhythms. 2005;3(1):7. PubMed  PubMed Central  Google Scholar  3. Yerushalmi S, Green RM. Evidence for the adaptive significance of circadian rhythms. Ecol Lett….

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an R package for interactive visualization of multi-omics data and annotation of chromosomes

Additional file 1. Example of chromoMap interactive plot constructed using various features of chromoMap including polyploidy (used as multi-track), feature-associated data visualization (scatter and bar plots), chromosome heatmaps, data filters (color-coded scatter and bars). Differential gene expression in a cohort of patients positive for COVID19 and healthy individuals (NCBI Gene…

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Immune-related Prognostic Genes of ccRCC

Introduction Kidney cancer is one of the most commonly diagnosed tumors around the globe.1 According to the statistics from the World Health Organization, annually, there are more than 140,000 RCC-related deaths.2 ccRCC is the most typical subtype of kidney cancer and contributes to the majority of kidney cancer-related deaths.3,4 Until…

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Identification of differentially expressed genes in AF

Defeng Pan,1,* Yufei Zhou,2,* Shengjue Xiao,1,* Yue Hu,3,* Chunyan Huan,1 Qi Wu,1 Xiaotong Wang,1 Qinyuan Pan,1 Jie Liu,1 Hong Zhu1 1Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People’s Republic of China; 2Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of…

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miRNAs and mRNAs in intestinal ischemia-reperfusion injury

Introduction Intestinal ischemia-reperfusion (II/R) injury is a severe clinical complication common in the Intensive Care Unit (ICU). It is associated with high morbidity and mortality.1 Usually, this problem is followed by various causes, including sepsis, shock, trauma, and so on.2 Intestinal ischemia-reperfusion injury destroys intestinal tissue and impairs the function…

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Creating Heatmaps Of Diffrentially Expressed Genes In Angilent Single-Color Array Analysis

Creating Heatmaps Of Diffrentially Expressed Genes In Angilent Single-Color Array Analysis 0 I am using limma to analyze Agilent’s single color arrays to find differentially expressed genes, using the following procedure. targets <- limma::readTargets(“targets.txt”) project <- limma::read.maimages(targets,source=”agilent”, green.only=TRUE) project.bgc <- backgroundCorrect(project, method=”normexp”, offset=50) project.NormData <-normalizeBetweenArrays(project.bgc,method=”quantile”) design <- paste(targets$Target, sep=””) design…

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GitHub – MD-Anderson-Bioinformatics/EGFR-Structure-Function-Nature-Manuscript

These files contain the source data and code used for the analyses included in the publication Robichaux et al 2021, “Structure-based classification predicts drug response in EGFR mutant NSCLC” These files will be made public at the time of acceptance.The files include but are not limited to: Summary of EGFR…

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How do I determine p-value and fold change for TMM normalized data?

How do I determine p-value and fold change for TMM normalized data? 0 Hi, I have a TMM normalized data for cancer vs no cancer treatment. This data, however, does not contain p-value or fold change. I want to generate plots such as heatmaps and volcano plots, but I cann’t…

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Kaggle Mini Courses

Listing Results Kaggle mini courses Learn Python, Data Viz, Pandas & More Tutorials Kaggle Data Kaggle.com All Courses 8 hours agoPython Learn the most important language for data science. Intro to Machine Learning Learn the core ideas in machine learning, and build your first models. Intermediate Machine Learning Handle missing…

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kaggle datasets for tableau

The homepage is full of small visualizations telling stories about each data set. This is the default Tableau location (if you’ve not changed) so far. Transformation processes can also be referred to as data wrangling, or data munging, transforming and mapping data from one raw data form into another format…

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Pericentromeric noncoding RNA changes DNA binding of CTCF and inflammatory gene expression in senescence and cancer

Significance During the aging process, senescent cells secrete inflammatory factors, causing various age-related pathologies. Thus, controlling the senescence-associated secretory phenotype (SASP) can tremendously benefit human health. Although SASP seems to be induced by the alteration of chromosomal organization, its underlying mechanism remains unclear. Here, it has been revealed that noncoding…

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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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R Programming – how to make a simple heat map

R Programming – how to make a simple heat map 5 Hi can anyone guide me how to make a simple heat map in R? Heatmap R • 264 views There is github.com/XiaoLuo-boy/ggheatmap which is fully ggplot in case you feel more comfortable with it rather than the suggested pheatmap/ComplexHeatmap…

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R Programming

R Programming 4 Hi can anyone guide me how to make a simple heat map in R? in Heatmap R • 201 views There is github.com/XiaoLuo-boy/ggheatmap which is fully ggplot in case you feel more comfortable with it rather than the suggested pheatmap/ComplexHeatmap packages and want to have a consistent…

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