A quantitative prediction method utilizing whole omics data for biosensing
Abstract Omics data provide a plethora of quantifiable information that can potentially be used to identify biomarkers targeting the physiological processes and ecological phenomena of organisms. However, omics data have not been fully utilized because current prediction methods in biomarker constru...
Saved in:
Main Authors: | Takahiko Koizumi, Kenta Suzuki, Inoue Mizuki, Kie Kumaishi, Yasunori Ichihashi |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-84323-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prospects of Nanobiomaterials for Biosensing
by: Ravindra P. Singh
Published: (2011-01-01) -
Fluorogenic Biosensing with Tunable Polydiacetylene Vesicles
by: John S. Miller, et al.
Published: (2025-01-01) -
Tissue engineering and biosensing applications of carbon-based nanomaterials
by: Seydanur Yücer, et al.
Published: (2025-06-01) -
Productive biosensing techniques empowered by all-dielectric metasurfaces
by: Masanobu Iwanaga
Published: (2025-01-01) -
SERS-Based Local Field Enhancement in Biosensing Applications
by: Yangdong Xie, et al.
Published: (2024-12-01)