Mathematical-based microbiome analytics for clinical translation
Traditionally, human microbiology has been strongly built on the laboratory focused culture of microbes isolated from human specimens in patients with acute or chronic infection. These approaches primarily view human disease through the lens of a single species and its relevant clinical setting howe...
Saved in:
Main Authors: | Narayana, Jayanth Kumar, Mac Aogáin, Micheál, Goh, Wilson Wen Bin, Xia, Kelin, Tsaneva-Atanasova, Krasimira, Chotirmall, Sanjay Haresh |
---|---|
Other Authors: | Lee Kong Chian School of Medicine (LKCMedicine) |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/160404 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Similarity network fusion for the integration of multi-omics and microbiomes in respiratory disease
by: Narayana, Jayanth Kumar, et al.
Published: (2022) -
Debugging lung diseases: applying mathematical techniques for precision medicine on the pulmonary microbiome through modelling, data integration and machine learning
by: Jayanth Kumar Narayana
Published: (2024) -
Geographic variation in the aetiology, epidemiology and microbiology of bronchiectasis
by: Chandrasekaran, Ravishankar, et al.
Published: (2018) -
Microbiology and the microbiome in bronchiectasis
by: Mac Aogáin, Micheál, et al.
Published: (2023) -
The airway microbiome: present and future applications
by: Aogáin, Micheál Mac, et al.
Published: (2022)