WebIn view of the gene-based sequence information, we use two conventional methods (BLAST+ and MEGA7) to assess the similarity between each pair of microbes from different perspectives. Especially, network consistency projection is added to obtain network projection scores from the microbe space and the disease space. WebHuman Drug-Pathway Association Prediction Based on Network Consistency Projection. A novel computational method for drug-pathway association prediction based on known drug-pathway associations. This method was based on the drug pathway target wherein biologically related drugs appear to interact with pathway targets in identical diseases …
Frontiers Inferring Disease-Associated Microbes Based on Multi …
WebOct 16, 2024 · Here, we advance a computational method (NCPCDA) to identify novel circRNA–disease associations based on network consistency projection. For starters, … In this study, leave-one-out cross validation (LOOCV) was implemented on known and experimentally verified miRNA-disease associations to evaluate the predictive performance of NCPMDA. NCPMDA was tested using the benchmark dataset to assess its power and infer potential miRNA-disease associations. … See more To the best of our knowledge, HDMP41, RLSMDA32, NetCBI42, and the global network algorithm developed by Shi et al.43 are state-of-the … See more Increasing evidence indicates that miRNAs play critical roles in the development of breast cancer and hepatocellular carcinoma (HCC). Case studies were … See more The predictive performance of our method is thoroughly discussed in the first section of this paper. In this section, we utilized NCPMDA to predict unknown miRNA-disease associations, including all possible miRNA-disease pairs … See more An isolated disease refers to a disease without any known associated miRNA. To demonstrate the predictive ability of NCPDMA on isolated diseases, we removed the known and verified miRNA-disease associations … See more how did anthony anderson lose weight
Potential circRNA-disease association prediction using DeepWalk …
WebSpecifically, our method first reveals features of nodes learned by the deep learning method DeepWalk based on known circRNA-disease associations to calculate circRNA-circRNA … WebOct 25, 2016 · In this study, we develop the Network Consistency Projection for miRNA-Disease Associations (NCPMDA) method to reveal the potential associations between miRNAs and diseases. NCPMDA is a non ... WebSome supervised methods cannot predict drugs without known associated pathways or disease. In this research, they propose a new calculation method called the Network Consistency Projection Drug-Pathway Associations (NCPHDPA), which is based on the prediction of possible drug-pathway associations. how did antarctica form