首页/数据集/Additional file 1: Table S1. of Novel human microbe-disease association prediction using network consistency projection

Additional file 1: Table S1. of Novel human microbe-disease association prediction using network consistency projection

NIAID Data Ecosystem2026-03-10 收录

生物实体-疾病关联预测

网络一致性投影

数据链接：

https://figshare.com/articles/dataset/Additional_file_1_Table_S1_of_Novel_human_microbe-disease_association_prediction_using_network_consistency_projection/5742573 数据链接链接失效反馈

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Prediction of all the unknown microbe-disease pairs. (XLSX 232Â kb)

应用场景：

创建时间：

2017-12-29

生物实体-疾病关联预测

生物信息学

Additional file 1: Table S1. We publicly released the predicted of microbes for each disease, which may offer valuable information and clues for biological experiments.

Figshare2017-10-17 更新50

MOESM1 of WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network

生物实体-疾病关联预测

信息网络

Additional file 1 Table S1. Performance comparisons between our method and baseline methods (NTSHMDA, nGRHMDA, biRWHMDA, lRLSHMDA, kATZHMDA, bDSILP and pRWHMDA) in terms of precision, recall, and f1-s

Figshare2019-11-01 更新30

Results of the validation experiments.

药物重定位

生物实体-疾病关联预测

The table presents the validation experiments for each of the four networks (i..e, OpenBioLink, permuted OpenBioLink, In-House, and permuted In-House) using two variants of the algorithm (i.e., all pa

NIAID Data Ecosystem30

Table_1_Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes.DOCX

生物实体-疾病关联预测

医疗机器学习

Extensive clinical and biomedical studies have shown that microbiome plays a prominent role in human health. Identifying potential microbe–disease associations (MDAs) can help reveal the pathological

NIAID Data Ecosystem40

sj-xlsx-6-sci-10.1177_00368504221109215 - Supplemental material for Integration of various protein similarities using random forest technique to infer augmented drug-protein matrix for enhancing drug-disease association prediction

生物实体-疾病关联预测

蛋白质相似性分析

Supplemental material, sj-xlsx-6-sci-10.1177_00368504221109215 for Integration of various protein similarities using random forest technique to infer augmented drug-protein matrix for enhancing drug-d

DataCite Commons2024-08-28 更新30

Additional file 1: Table S1. of Novel human microbe-disease association prediction using network consistency projection

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