In-depth method assessments of differentially expressed protein detection for shotgun proteomics data with missing values
Abstract Considering as one of the major goals in quantitative proteomics, detection of the differentially expressed proteins (DEPs) plays an important role in biomarker selection and clinical diagnostics. There have been plenty of algorithms and tools focusing on DEP detection in proteomics researc...
Saved in:
Main Authors: | Jinxia Wang, Liwei Li, Tao Chen, Jie Ma, Yunping Zhu, Jujuan Zhuang, Cheng Chang |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2017
|
Subjects: | |
Online Access: | https://doaj.org/article/77def7792c2043d39463486147d19c8d |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Focus on the spectra that matter by clustering of quantification data in shotgun proteomics
by: Matthew The, et al.
Published: (2020) -
Multicenter assessment of shotgun metagenomics for pathogen detection
by: Donglai Liu, et al.
Published: (2021) -
Automated protein turnover calculations from 15N partial metabolic labeling LC/MS shotgun proteomics data.
by: David Lyon, et al.
Published: (2014) -
A comparative study of evaluating missing value imputation methods in label-free proteomics
by: Liang Jin, et al.
Published: (2021) -
Shotgun proteomics reveals putative polyesterases in the secretome of the rock-inhabiting fungus Knufia chersonesos
by: Donatella Tesei, et al.
Published: (2020)