| 1. AnnotatedDataFrame.mp4 | 26.9 MB | ||
| 1. AnnotatedDataFrame.srt | 2.2 KB | ||
| 1. Background Information and Calibration.mp4 | 10.9 MB | ||
| 1. Background Information and Calibration.srt | 1.3 KB | ||
| 1. Compute the RLE.mp4 | 9.6 MB | ||
| 1. Compute the RLE.srt | 921.6 B | ||
| 1. End of the course.mp4 | 5.7 MB | ||
| 1. End of the course.srt | 716.8 B | ||
| 1. How to check and create the directory.mp4 | 7.1 MB | ||
| 1. How to check and create the directory.srt | 921.6 B | ||
| 1. Information stored in ArrayExpress.mp4 | 16.2 MB | ||
| 1. Information stored in ArrayExpress.srt | 1.7 KB | ||
| 1. Installations of Packages.mp4 | 10.3 MB | ||
| 1. Installations of Packages.srt | 3.7 KB | ||
| 1. Introduction.mp4 | 17.8 MB | ||
| 1. Introduction.srt | 2.5 KB | ||
| 1. Perform PCA analysis.mp4 | 7.7 MB | ||
| 1. Perform PCA analysis.srt | 2.8 KB | ||
| 1. RMA calibration of the data.mp4 | 19.2 MB | ||
| 1. RMA calibration of the data.srt | 1.8 KB | ||
| 1.1 Code.pdf | 636.2 KB | ||
| 1.2 ibd_2015_02_18_palmieri_14-0326_sdc1.xls | 113 KB | ||
| 1.3 Microarrays analysis for differential gene expression by R.pptx | 1.7 MB | ||
| 2. Bioconductor ExpressionSets.mp4 | 19.6 MB | ||
| 2. Bioconductor ExpressionSets.srt | 2.4 KB | ||
| 2. Create Expression set.mp4 | 16.7 MB | ||
| 2. Create Expression set.srt | 1.3 KB | ||
| 2. If Package is not installed.mp4 | 8.1 MB | ||
| 2. If Package is not installed.srt | 716.8 B | ||
| 2. If folder is not available.mp4 | 2.3 MB | ||
| 2. If folder is not available.srt | 409.6 B | ||
| 2. Installations of R and RStudio.mp4 | 18.7 MB | ||
| 2. Installations of R and RStudio.srt | 1.8 KB | ||
| 2. Plot the RLE.mp4 | 30.9 MB | ||
| 2. Plot the RLE.srt | 2.4 KB | ||
| 2. Quality Assessment of the calibrated data.mp4 | 20.2 MB | ||
| 2. Quality Assessment of the calibrated data.srt | 2.1 KB | ||
| 2. Quality Report.mp4 | 8.9 MB | ||
| 2. Quality Report.srt | 716.8 B | ||
| 2. Summarization.mp4 | 16.7 MB | ||
| 2. Summarization.srt | 1.9 KB | ||
| 3. Hoe to set directory and download the data.mp4 | 36.9 MB | ||
| 3. Hoe to set directory and download the data.srt | 2.8 KB | ||
| 3. pData.mp4 | 44.5 MB | ||
| 3. pData.srt | 2.5 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 47 total files | |||
Microarrays analysis for differential gene expression by R
https://TutGator.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21 lectures (43m) | Size: 327 MB
What you'll learn:
Basics of R. By this course you can have good attachment with R.
How to import data and set the directory for data?
How to install packages from Bioconductor?
Analyze differential expression (DE) between the tissues.
Perform quality control and normalization.
Requirements
R software
RStudio
Basic information about Microarray Analysis
Basic knowledge about Statistics like t test
Description
You want to be a professional in the field of Bioinformatics by R. If you don’t know how to use R on data problems and what ways of its uses, then this course will be beneficial for you. R is an emerging part of Bioinformatics. There are many sources to learn R and R have a sharp learning curve and often students get fed up by some things which look complicated. You should do practice it’s for the best experience.
This course is actually introducing R and elaborating R for Biomedical data. After this course, you will be able to do a complete analysis of biomedical data. After this, you can read the code according to your needs.
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