Evaluation of network-guided random forest for disease gene discovery
J Hu, S Szymczak - BioData Mining, 2024 - Springer
Background Gene network information is believed to be beneficial for disease module and
pathway identification, but has not been explicitly utilized in the standard random forest (RF) …
pathway identification, but has not been explicitly utilized in the standard random forest (RF) …
A random walk-based method to identify candidate genes associated with lymphoma
M Sheng, H Cai, Q Yang, J Li, J Zhang, L Liu - Frontiers in Genetics, 2021 - frontiersin.org
Lymphoma is a serious type of cancer, especially for adolescents and elder adults, although
this malignancy is quite rare compared with other types of cancer. The cause of this …
this malignancy is quite rare compared with other types of cancer. The cause of this …
Identification of Novel Choroidal Neovascularization‐Related Genes Using Laplacian Heat Diffusion Algorithm
M Sheng, H Cai, M Cheng, J Li… - BioMed Research …, 2021 - Wiley Online Library
Choroidal neovascularization (CNV) is a type of eye disease that can cause vision loss. In
recent years, many studies have attempted to investigate the major pathological processes …
recent years, many studies have attempted to investigate the major pathological processes …
Graph-Root: Prediction of Root-Associated Proteins in Plants Based on Graph Convolutional Network and Network Embedding Method
L Chen, S Liu - 2023 - preprints.org
The root system plays an irreplaceable role in plant growth. Its improvement can increase
crop productivity. However, such system is still mysterious for us. The underlying mechanism …
crop productivity. However, such system is still mysterious for us. The underlying mechanism …