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Search results “Quantile normalization of microarray data mining”

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Views: 170 Oliver Chen

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This video is part of an online course, Data Analysis with R. Check out the course here: https://www.udacity.com/course/ud651. This course was designed as part of a program to help you and others become a Data Analyst. You can check out the full details of the program here: https://www.udacity.com/course/nd002.
Views: 52617 Udacity

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Quantile-Quantile (QQ) plots are used to determine if data can be approximated by a statistical distribution. For example, you might collect some data and wonder if it is normally distributed. A QQ plot will help you answer that question. You can also use QQ plots to compare to different datasets that you collected to determine if their distributions are comparable. This video shows you how to do both things. NOTE: The data in this video are measures of gene expression. If "gene expression" doesn't mean anything to you, just imagine that the data represents how tall a bunch of people are, or how much they weigh. Then consider the y-axis to be the height or weight of the people, and the x-axis just represents all of the data you collected on a single day. In this case, all of the data were collected on the same day, so they form a single column. For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt... https://teespring.com/stores/statquest ...or buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/

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for database managment
Views: 215 neporagon

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[NOTE: Good CC/Subtitles Added] Median Polish is an Exploratory Data Analysis technique for analyzing two-way tables. This video shows a step-by-step example of working the Median Polish on a simple 3x3 two-way table: -15 4 1 6 16 30 -5 4 -12 Here is a simple R program that will create 3x3 two-way tables for you to practice with, and the median polish results generated by R: tbl = matrix(data=as.integer(runif(9) * 10), nrow=3, ncol=3) tbl medpolish(tbl)
Views: 4835 Timothy Chen Allen

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Views: 1212 PartekIncorporated

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Teri Manolio, M.D., Ph.D. Director, Office of Population Genomics, NHGRI. Genetics for Epidemiologists: Applications of Human Genomics to Population Sciences, was a short course for investigators and trainees in the field of epidemiology and related population-based sciences. It was conducted by the National Human Genome Research Institute (NHGRI) on May 13-14, 2008 at Northwestern University in Chicago. The goal of Genetics for Epidemiologists (GFE) was to familiarize epidemiologists and population-based researchers with recent developments in the theory and methods of human genetics that might be applied to the study of the distribution, natural history and etiology of diseases in populations. The course consisted of eight one-hour lectures and focused on the interface between genetics and epidemiology. Emphasis was on the application of modern human genome analysis methodologies to studies of human populations through the design, conduct, analysis, and interpretation of studies which effectively answer the epidemiologic question of interest. GFE is co-sponsored by the Office of Population Genomics, NHGRI, and the Department of Preventive Medicine at Northwestern University's Feinberg School of Medicine. These videocasts are provided as an educational tool for epidemiologic investigators interested in learning more about applying genomics to their work. More: http://www.genome.gov/27026645

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A brief introduction to epigenetics and DNA methylation, followed by a detailed description of how to determine if specific genes are differentially methylated in biospecimen samples. Instructions are provided to learn how to download large datasets from the TCGA web portal.
Views: 2705 nmsuaces

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Views: 426 nhgreenmath

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The Human Microbiome: Emerging Themes at the Horizon of the 21st Century (Day 3) Air date: Friday, August 18, 2017, 8:15:00 AM Category: Conferences Runtime: 04:59:15 Description: The 2017 NIH-wide microbiome workshop will strive to cover advances that reveal the specific ways in which the microbiota influences the physiology of the host, both in a healthy and in a diseased state and how the microbiota may be manipulated, either at the community, population, organismal or molecular level, to maintain and/or improve the health of the host. The goal will be to seek input from a trans-disciplinary group of scientists to identify 1) knowledge gaps, 2) technical hurdles, 3) new approaches and 4) research opportunities that will inform the development of novel prevention and treatment strategies based on host/microbiome interactions over the next ten years. Author: NIH Permanent link: https://videocast.nih.gov/launch.asp?23424
Views: 2000 nihvcast

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TissueScan™ Cancer and Normal Tissue cDNA Arrays are developed for differential gene expression analysis. It validation among hundreds of different human tissues in less than two hours. Tissue cDNAs of each array are normalized first-strand cDNA from clinical tissues. Each cDNA sample is synthesized from high quality total RNAs of pathologist-verified tissues, normalized and validated with beta-actin in two sequential qPCR analyses, and provided with clinical information and QC data. Learn from this video on how to survey gene expression level of any potential biomarkers among a full-spectrum of cancer tissues in 2-hrs. For more information, please visit http://www.origene.com/qPCR/Tissue-qPCR-Arrays.aspx