Mercurial > repos > computational-metabolomics > dimspy_sample_filter

comparison sample_filter.xml @ 1:d2f75a01c428 draft

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"planemo upload for repository https://github.com/computational-metabolomics/dimspy-galaxy commit 680116d0cf6a6d7246cba655452dea43269aeba4"
author computational-metabolomics
date Tue, 28 Apr 2020 17:37:36 -0400
parents 415fe844ec6c
children
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0:415fe844ec6c 1:d2f75a01c428
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106 Description 106 Description
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109 Standard DIMS processing workflow: Process Scans -> Replicate Filter -> Align Samples -> [Missing values sample filter] -> Blank Filter -> **Sample Filter** -> Matrix processing -> Statistics 109 Standard DIMS processing workflow: Process Scans -> [Replicate Filter] -> Align Samples -> Blank Filter -> **Sample Filter** -> [Missing values sample filter] -> Pre-processing -> Statistics
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113 There are many and varied reasons why a peak may not have been detected in all study samples, including: due to having an intensity (concentration) close to the signal-to-noise limit of the system; due to having been present in only one of the study classes (e.g. a drug administered to the ‘treatment’ class samples); due to ion suppression/enhancement effects in the mass spectrometer source region; etc. The Sample Filter tool allows users to remove peaks from the input peak intensity matrix that were detected in fewer-than a user-defined minimum number of study samples. 113 There are many and varied reasons why a peak may not have been detected in all study samples, including: due to having an intensity (concentration) close to the signal-to-noise limit of the system; due to having been present in only one of the study classes (e.g. a drug administered to the ‘treatment’ class samples); due to ion suppression/enhancement effects in the mass spectrometer source region; etc. The Sample Filter tool allows users to remove peaks from the input peak intensity matrix that were detected in fewer-than a user-defined minimum number of study samples.
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