Proteomics and machine learning: Leveraging domain knowledge for feature selection in a skeletal muscle tissue meta-analysis
Omics techniques, such as proteomics, contain crucial data for understanding biological processes, but they remain underutilized due to their high dimensionality. Typically, proteomics research focuses narrowly on using a limited number of datasets, hindering cross-study comparisons, a problem that...
Saved in:
| Main Authors: | Alireza Shahin-Shamsabadi, John Cappuccitti |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402416803X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Shatavari supplementation during eight weeks of resistance training increases training load, enhances skeletal muscle contractility and alters the skeletal muscle proteome in older women
by: Elsa Greed, et al.
Published: (2025-01-01) -
Skeletal muscle proteome differs between young APOE3 and APOE4 targeted replacement mice in a sex-dependent manner
by: Chelsea N. Johnson, et al.
Published: (2024-11-01) -
Ubiquitylomics: An Emerging Approach for Profiling Protein Ubiquitylation in Skeletal Muscle
by: Samuel O. Lord, et al.
Published: (2024-12-01) -
Data-Independent Acquisition Method for In-Depth Proteomic Screening of Donkey Meat
by: Liyuan Wang, et al.
Published: (2024-11-01) -
Ucp1 Ablation Improves Skeletal Muscle Glycolytic Function in Aging Mice
by: Jin Qiu, et al.
Published: (2025-01-01)