HG-LGBM: A Hybrid Model for Microbiome-Disease Prediction Based on Heterogeneous Networks and Gradient Boosting
The microbiome plays a crucial role in maintaining physiological homeostasis and is intricately linked to various diseases. Traditional culture-based microbiological experiments are expensive and time-consuming. Therefore, it is essential to prioritize the development of computational methods that e...
Saved in:
| Main Authors: | Jun Guo, Chunyan Xu, Ying Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/8/4452 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
THGB: predicting ligand-receptor interactions by combining tree boosting and histogram-based gradient boosting
by: Liqian Zhou, et al.
Published: (2024-11-01) -
ACCURACY ANALYSIS OF THE GRADIENT BOOSTING METHOD WITH RANDOM ROTATIONS
by: Victor V. Kitov
Published: (2016-08-01) -
LDA-SCGB: inferring lncRNA-disease associations based on condensed gradient boosting
by: Chengqiu Dai, et al.
Published: (2025-07-01) -
Komparasi Algoritma Naive Bayes dan Gradient Boosting untuk Prediksi Pasien Diabetes
by: Nova Christina Sari, et al.
Published: (2024-08-01) -
Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations
by: Xiaozhi Lu, et al.
Published: (2025-07-01)