Summary of Study ST001271
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000857. The data can be accessed directly via it's Project DOI: 10.21228/M8X110 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST001271 |
Study Title | Colorectal cancer before and after surgery metabolomics data integration |
Study Type | Pilot study |
Study Summary | In this study 40 urine samples were analyzed in 5 batches. There are 3 labels: control group volunteers (8 pcs., CG), colorectal cancer patients before surgical operation (20 pcs., pre) and after surgical operation (12 pcs., post). |
Institute | Lomonosov MSU |
Department | Chemistry |
Laboratory | Mass spectrometry |
Last Name | Plyushchenko |
First Name | Ivan |
Address | Leninskie gory, 1/3 |
plyush1993@bk.ru | |
Phone | 89160362200 |
Submit Date | 2019-10-29 |
Analysis Type Detail | LC-MS |
Release Date | 2020-01-13 |
Release Version | 1 |
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Project:
Project ID: | PR000857 |
Project DOI: | doi: 10.21228/M8X110 |
Project Title: | Colorectal cancer before and after surgery metabolomics data integration |
Project Type: | Pilot study |
Project Summary: | In this study 40 urine samples were analyzed in 5 batches. There are 3 labels: control group volunteers (8 pcs., CG), colorectal cancer patients before surgical operation (20 pcs., pre) and after surgical operation (12 pcs., post). |
Institute: | Lomonosov Moscow State University |
Department: | Chemistry |
Laboratory: | Mass spectrometry |
Last Name: | Plyushchenko |
First Name: | Ivan |
Address: | Leninskie gory, 1/3, Moscow, Moscow, 119234, Russian Federation |
Email: | plyush1993@bk.ru |
Phone: | +79160362200 |
Publications: | Plyushchenko Ivan, et al. "An approach for feature selection with data modelling in LC-MS metabolomics." Analytical Methods 12.28 (2020): 3582-3591. DOI: 10.1039/d0ay00204f |
Contributors: | Rodin I., Shakhmatov D., Bolotnik T. |