Comparisons of Whole Saliva and Cell Free Saliva by DIA‐Based Proteome Profiling.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202400031
- By:
- Publication type:
- Article
Works matching IS 18628346 AND DT 2025 AND VI 19 AND IP 1
Results: 10
1
2
ECMHA‐PP: A Breast Cancer Prognosis Prediction Model Based on Energy‐Constrained Multi‐Head Self‐Attention.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202400035
- By:
- Publication type:
- Article
3
Minimally Invasive Versus Invasive Proteomics: Urine and Blood Biomarkers in Coronary Artery Disease.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202400062
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- Publication type:
- Article
4
dRama: Differential Ramachandran Plot as a Tool to Analyze Subtle Changes in Protein Secondary Structure.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202400087
- By:
- Publication type:
- Article
5
Advancements in Single‐Cell Proteomics and Mass Spectrometry‐Based Techniques for Unmasking Cellular Diversity in Triple Negative Breast Cancer.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202400101
- By:
- Publication type:
- Article
6
Understanding LC/MS‐Based Metabolomics: A Detailed Reference for Natural Product Analysis.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202400048
- By:
- Publication type:
- Article
7
Proteomics and Metabolomics Study on the Responses of Sertoli Cells Infected With Brucella and Its bvfA‐Deletion Strains.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202300231
- By:
- Publication type:
- Article
8
Proteomic Analysis of Fibroblasts Exposed to Resin Composite Release.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202400049
- By:
- Publication type:
- Article
9
TMT‐Based Quantitative Proteomic Profiling of Human Esophageal Cancer Cells Reveals the Potential Mechanism and Potential Therapeutic Targets Associated With Radioresistance.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202400010
- By:
- Publication type:
- Article
10
Issue Information: Proteomics 1'25.
- Published in:
- Proteomics - Clinical Applications, 2025, v. 19, n. 1, p. 1, doi. 10.1002/prca.202570011
- Publication type:
- Article