Front Cover.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202370171
- Publication type:
- Article
Works matching IS 16159853 AND DT 2023 AND VI 23 AND IP 21/22
Results: 16
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A framework for considering prior information in network‐based approaches to omics data analysis.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200402
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- Publication type:
- Article
3
Contents: Proteomics 21–22'23.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202370173
- Publication type:
- Article
4
Elucidating the dynamic remodelling of Escherichia coli interactome in different growth conditions using multiplex co‐fractionation MS (mCF‐MS).
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202300209
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- Publication type:
- Article
5
Editorial Board: Proteomics 21–22'23.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202370172
- Publication type:
- Article
6
Multi‐omic analyses and network biology in cardiovascular disease.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200289
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- Publication type:
- Article
7
State of the art in data integration and network biology (special issue).
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202300325
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- Publication type:
- Article
8
Integrating intracellular and extracellular proteomic profiling for in‐depth investigations of cellular communication in a model of prostate cancer.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200287
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- Publication type:
- Article
9
Towards deciphering glioblastoma intra‐tumoral heterogeneity: The importance of integrating multidimensional models.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200401
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- Publication type:
- Article
10
State‐of‐the‐art computational methods to predict protein–protein interactions with high accuracy and coverage.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200292
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- Publication type:
- Article
11
Dynamic remodeling of Escherichia coli interactome in response to environmental perturbations.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200404
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- Publication type:
- Article
12
Integration of data‐independent acquisition (DIA) with co‐fractionation mass spectrometry (CF‐MS) to enhance interactome mapping capabilities.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200278
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- Publication type:
- Article
13
Identifying dynamical persistent biomarker structures for rare events using modern integrative machine learning approach.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200290
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- Publication type:
- Article
14
Recent advances in characterization of citrullination and its implication in human disease research: From method development to network integration.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200286
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- Publication type:
- Article
15
An economic and robust TMT labeling approach for high throughput proteomic and metaproteomic analysis.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200116
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- Publication type:
- Article
16
A shift towards succinate‐producing Prevotella in the ruminal microbiome challenged with monensin.
- Published in:
- Proteomics, 2023, v. 23, n. 21/22, p. 1, doi. 10.1002/pmic.202200121
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- Publication type:
- Article