9 Result(s)
within
**nyi Zang
Bioinformatics
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Article
Open AccessCNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks
Drug–drug interactions (DDIs) are the reactions between drugs. They are compartmentalized into three types: synergistic, antagonistic and no reaction. As a rapidly develo** technology, predicting DDIs-associ...
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Open AccessA multi-network integration approach for measuring disease similarity based on ncRNA regulation and heterogeneous information
Measuring similarity between complex diseases has significant implications for revealing the pathogenesis of diseases and development in the domain of biomedicine. It has been consentaneous that functional ass...
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Article
Open AccessDRACP: a novel method for identification of anticancer peptides
Millions of people are suffering from cancers, but accurate early diagnosis and effective treatment are still tough for all doctors. Common ways against cancer include surgical operation, radiotherapy and chem...
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Open AccessdeSALT: fast and accurate long transcriptomic read alignment with de Bruijn graph-based index
The alignment of long-read RNA sequencing reads is non-trivial due to high sequencing errors and complicated gene structures. We propose deSALT, a tailored two-pass alignment approach, which constructs graph-b...
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Open AccessLncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets
Over the past decades, a large number of long non-coding RNAs (lncRNAs) have been identified. Growing evidence has indicated that the mutation and dysregulation of lncRNAs play a critical role in the developme...
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Open AccessIdentifying Alzheimer’s disease-related proteins by LRRGD
Alzheimer’s disease (AD) imposes a heavy burden on society and every family. Therefore, diagnosing AD in advance and discovering new drug targets are crucial, while these could be achieved by identifying AD-re...
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Open AccessPrioritizing candidate diseases-related metabolites based on literature and functional similarity
As the terminal products of cellular regulatory process, functional related metabolites have a close relationship with complex diseases, and are often associated with the same or similar diseases. Therefore, i...
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Open AccessHuman mitochondrial genome compression using machine learning techniques
In recent years, with the development of high-throughput genome sequencing technologies, a large amount of genome data has been generated, which has caused widespread concern about data storage and transmissio...
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Open AccessIdentifying diseases-related metabolites using random walk
Metabolites disrupted by abnormal state of human body are deemed as the effect of diseases. In comparison with the cause of diseases like genes, these markers are easier to be captured for the prevention and d...
