- Prediction and Validation of Disease Genes Using HeteSim Scores🔍
- Prediction of Disease Comorbidity Using HeteSim Scores based on ...🔍
- Prediction and validation of association between microRNAs and ...🔍
- Predicting Disease|related Associations by Heterogeneous Network ...🔍
- Prediction of lncRNA|protein interactions using HeteSim scores ...🔍
- Predicting the associations between microbes and diseases by ...🔍
- Accurate prediction of protein|lncRNA interactions by diffusion and ...🔍
- Disease gene prediction for molecularly uncharacterized ...🔍
Prediction and Validation of Disease Genes Using HeteSim Scores
Prediction and Validation of Disease Genes Using HeteSim Scores
Deciphering the gene disease association is an important goal in biomedical research. In this paper, we use a novel relevance measure, called HeteSim, ...
Prediction and Validation of Disease Genes Using HeteSim Scores
In this paper, we use a novel relevance measure, called HeteSim, to prioritize candidate disease genes. Two methods based on heterogeneous ...
Prediction and Validation of Disease Genes Using HeteSim Scores
A novel relevance measure, called HeteSim, is used, to prioritize candidate disease genes, and it is found that HSSVM avoid the disadvantage of the existing ...
Prediction and Validation of Disease Genes Using HeteSim Scores
In this paper, we use a novel relevance measure, called HeteSim, to prioritize candidate disease genes. Two methods based on heterogeneous networks constructed ...
Prediction and Validation of Disease Genes Using HeteSim Scores
Request PDF | Prediction and Validation of Disease Genes Using HeteSim Scores | Deciphering the gene disease association is an important goal in biomedical ...
Prediction of Disease Comorbidity Using HeteSim Scores based on ...
... score of 0.90 in 10-fold cross-validation. Furthermore, some of our ... Keywords: Disease comorbidity; HeteSim measure; disease drug; disease gene; heterogeneous ...
Prediction and validation of association between microRNAs and ...
HeteSim measure is introduced to predict the associations between microRNAs and diseases. ... The performance of prediction is improved by using machine learning ...
Prediction of Disease Comorbidity Using HeteSim Scores based on ...
Xuegong Chen, Wanwan Shi, L. Deng · Published in Current Gene Therapy 31 July 2019 · Medicine, Computer Science.
Predicting Disease-related Associations by Heterogeneous Network ...
Liu et al., “Prediction and validation of disease genes using HeteSim Scores,” IEEE/ACM Transactions on Computa- tional Biology and Bioinformatics, vol. 14 ...
Prediction of lncRNA-protein interactions using HeteSim scores ...
An SVM classifier to predict lncRNA-protein interactions is built with the HeteSim scores. The results show that PLPIHS performs significantly ...
Predicting the associations between microbes and diseases by ...
Then, normalized HeteSim algorithm was executed to weight the known microbe-disease pairs, and the HeteSim scores of different paths were ...
Accurate prediction of protein-lncRNA interactions by diffusion and ...
(D) The HeteSim score is a measure to estimate the correlation of a pair of nodes relying on the paths that connects the two nodes through a ...
Prediction of Disease Comorbidity Using HeteSim Scores based on ...
The calculation methods have identified disease-related genes and drugs on a large scale (Tianyi et al., 2020;Zhao et al., 2020b). ...
Disease gene prediction for molecularly uncharacterized ... - PLOS
Additionally, standard leave-one-out cross validation tests show how our approach outperforms state-of-the-art methods at predicting genes for molecularly ...
Pathogenic Gene Prediction Algorithm Based on Heterogeneous ...
In the top 100 global prediction analysis of multiple genes and multiple diseases, the probability of recovering true gene associations using PUIMCHIF reached ...
A novel candidate disease gene prioritization method using deep ...
[35] proposed three approaches to score disease candidate genes using network-based methods, including kernel ridge regression, heat kernel, and ...
Prediction of Disease Comorbidity Using HeteSim Scores based on ...
... Prediction and validation of disease genes using hetesim scores. IEEE/ACM Trans Comput Biol Bioinformatics 2017,14(3),687-695 https://doi.org/10.1109/TCBB ...
HerGePred: Heterogeneous Network Embedding Representation for ...
Zou, “Prediction and validation of disease genes using HeteSim Scores,” IEEE/ACM Transactions on ... Wouters, “Candidate disease gene prediction using Gentrepid: ...
Prediction of lncRNA-protein interactions using HeteSim scores ...
Prediction and validation of disease genes using hetesim scores. IEEE/ACM Transactions on Computational Biology & Bioinformatics 1, 1–1 (2016). Kohavi, R. A ...
Predicting Parkinson disease related genes based on PyFeat and ...
This paper proposes a novel prediction system to identify protein and lncRNA genes related to PD that can aid in an early diagnosis.