Diseases

A Framework for Integrating Multiple Biological Networks to Predict MicroRNA-Disease Associations

Author(s)3: Wei Peng, Wei Lan, Zeng Yu, Jianxin Wang, Yi Pan
A Framework for Integrating Multiple Biological Networks to Predict MicroRNA-Disease Associations 215 235 Transactions on NanoBioscience (TNB)

MicroRNAs have close relationship with human diseases. Therefore, identifying disease related MicroRNAs plays an important role in disease diagnosis, prognosis and therapy. However, designing an effective computational method which can…

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Identifying Individual-Cancer-Related Genes by Re-balancing the Training Samples

Author(s)3: Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu
Identifying Individual-Cancer-Related Genes by Re-balancing the Training Samples 556 235 Transactions on NanoBioscience (TNB)

The identification of individual-cancer-related genes typically is an imbalanced classification issue. The number of known cancer-related genes is far less than the number of all unknown genes, which makes it…

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Clinical Documents Clustering Based on Medication/Symptom Names Using Multi-View Nonnegative Matrix Factorization

Author(s)3: Yuan Ling, Xuelian Pan, Guangrong Li, Xuahua Hu
Clinical Documents Clustering Based on Medication/Symptom Names Using Multi-View Nonnegative Matrix Factorization 222 95 Transactions on NanoBioscience (TNB)

Clinical documents are rich free-text data sources containing valuable medication and symptom information, which have a great potential to improve health care. In this paper, we build an integrating system…

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Heterogeneous Network Model to Infer Human Disease-Long Intergenic Non-Coding RNA Associations

Author(s)3: Gamage Upeksha Ganegoda, Min Li, Weiping Wang, Qilong Feng
Heterogeneous Network Model to Infer Human Disease-Long Intergenic Non-Coding RNA Associations 556 235 Transactions on NanoBioscience (TNB)

ACCESS PAPER DATA READ FULL ARTICLE ON IEEE XPLORE Abstract With the knowledge of molecular biology it is highlighting that long non-coding RNAs (lncRNAs) play a critical role in many…

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