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Title | Data Mining and Analysis of Lipidomics Datasets • |
Description | lipidr: Data Mining and Analysis of Lipidomics Datasets in Toggle navigation lipidr 2.11.1 Reference Examples Effect of diet on serum lipids in mice (Targeted lipidomics) Data mining from Matabolomics Workbench (B |
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WebSite | lipidr.org |
Host IP | 185.199.110.153 |
Location | - |
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US$1,284,742
Last updated: 2023-05-16 23:49:00
lipidr.org has Semrush global rank of 8,238,467. lipidr.org has an estimated worth of US$ 1,284,742, based on its estimated Ads revenue. lipidr.org receives approximately 148,240 unique visitors each day. Its web server is located in -, with IP address 185.199.110.153. According to SiteAdvisor, lipidr.org is safe to visit. |
Purchase/Sale Value | US$1,284,742 |
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Yearly Ads Revenue | US$426,930 |
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lipidr.org. | A | 3600 | IP: 185.199.110.153 |
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Toggle navigation lipidr 2.11.1 Reference Examples Effect of diet on serum lipids in mice (Targeted lipidomics) Data mining from Matabolomics Workbench (Breast cancer dataset) lipidr : Data Mining and Analysis of Lipidomics Datasets in R See full guide at lipidr.org Overall workflow Input Numerical Matrix To use lipidr for your analysis using numerical matrix as input, you need 2 files: Numerical table where lipids are rows and samples are columns. Lipid names should be in the first column, and sample names are in the first row. ( see example here ) A table with the sample annotation / groups, where the sample names are in first column. Note the sample names must be identical in the two files. ( see example here ) lipidr can convert these 2 files to LipidomicsExperiment as follows: d <- as_lipidomics_experiment ( read.csv ( "data_matrix.csv" ) ) d <- add_sample_annotation ( d , "data_clin.csv" ) Export from Skyline Here lipidr also requires 2 files: Results exported from Skyline |
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