LFAQ: Toward Unbiased Label-Free Absolute Protein Quantification by Predicting Peptide Quantitative Factors-Reference-Cited by-同舟云学术

LFAQ: Toward Unbiased Label-Free Absolute Protein Quantification by Predicting Peptide Quantitative Factors

Published:2018-12-10 Issue:2 Volume:91 Page:1335-1343
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Chang Cheng¹^ORCID,Gao Zhiqiang²³,Ying Wantao¹,Fu Yan²³,Zhao Yan¹,Wu Songfeng¹,Li Mengjie²³,Wang Guibin¹,Qian Xiaohong¹,Zhu Yunping¹⁴,He Fuchu¹

Affiliation:

1. State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China

2. National Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

3. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

4. Anhui Medical University, Hefei, 230032 China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Chinese Academy of Sciences

National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences

Innovation Program

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry