Increasing prediction performance of colorectal cancer disease status using random forests classification based on metagenomic shotgun sequencing data
Dysfunction of microbial communities in various human body sites has been shown to be associated with a variety of diseases raising the possibility of predicting diseases based on metagenomic samples. Although many studies have investigated this problem, there are no consensus on the optimal approac...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-03-01
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| Series: | Synthetic and Systems Biotechnology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405805X22000059 |