Evaluating Proteomics Imputation Methods with Improved Criteria-Reference-Cited by-同舟云学术

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Evaluating Proteomics Imputation Methods with Improved Criteria

Published:2023-10-20 Issue:11 Volume:22 Page:3427-3438
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Harris Lincoln¹,Fondrie William E.²^ORCID,Oh Sewoong³,Noble William S.¹³^ORCID

Affiliation:

1. Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States

2. Talus Biosciences, Seattle, Washington 98112, United States

3. Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, United States

Funder

National Institute on Aging

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.3c00205

Reference58 articles.

1. A Review of Imputation Strategies for Isobaric Labeling-Based Shotgun Proteomics

2. Review, Evaluation, and Discussion of the Challenges of Missing Value Imputation for Mass Spectrometry-Based Label-Free Global Proteomics

3. Missing value estimation methods for DNA microarrays

4. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

5. Estimation of missing values in astronomical survey data: An improved local approach using cluster directed neighbor selection

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1. PEPerMINT: peptide abundance imputation in mass spectrometry-based proteomics using graph neural networks;Bioinformatics;2024-09-01

2. Imputation of cancer proteomics data with a deep model that learns from many datasets;2024-08-28

3. DNA damage-associated protein co-expression network in cardiomyocytes informs on tolerance to genetic variation and disease;2024-08-14

4. Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning;Nature Communications;2024-06-26

5. FLiPPR: A Processor for Limited Proteolysis (LiP) Mass Spectrometry Data Sets Built on FragPipe;Journal of Proteome Research;2024-05-24

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