Computational Systems Biology Methods and Protocols.7z
of microscopy images [119]. To overcome the pitfalls associated with conventional machine learning classifiers, a deep convoluti ...
study is necessary to deepen our understanding, which means the “white-box” models are expected. Although, some approaches have ...
2015 and beyond. Lancet Psychiatry 3 (1):13–15. https://doi.org/10.1016/ S2215-0366(15)00549-0 Zeng T, Zhang W, Yu X, Liu X, Li ...
(4):504–505.https://doi.org/10.1093/bio informatics/bts728 Hocking TD, Goerner-Potvin P, Morin A, Shao X, Pastinen T, Bourque G ...
predicting N-, C- and O-linked glycosylation in the human proteome. Bioinformatics 31 (9):1411–1419. https://doi.org/10.1093/ bi ...
and similarity measures. BMC Genomics 12 (Suppl 5):S1. https://doi.org/10.1186/ 1471-2164-12-S5-S1 Wang Z, Wen X, Lu Y, Yao Y, ...
vocabulary in melanocytes. Genome Res 22 (11):2290–2301.https://doi.org/10.1101/ gr.139360.112 Ding Y, Tang S, Liao SG, Jia J, ...
Park Y, Kellis M (2015) Deep learning for regulatory genomics. Nat Biotechnol 33 (8):825–826. https://doi.org/10.1038/ nbt.3313 ...
Chapter 12 Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods Wei Lan, Liyu Huang, ...
Long noncoding RNAs are the group of noncoding RNA with the lengths more than 200 nucleotides. Recently, lncRNAs have attracted ...
Fig. 1The abnormity of lncRNA-disease network. The triangle and rectangle denote lncRNA and disease, respectively. (a) The norma ...
2.1 Disease Database Disease Ontology (http://disease-ontology.org)[27] is an open database of the integration of biomedical dat ...
The DisGeNET database [30] is an integrated database of human gene-disease associations from various expert-curated data- bases ...
provides the lncRNA expression pattern, experimental techniques, a brief functional description, the original reference, and add ...
IRWRLDA, for lncRNA-disease interaction prediction. The work constructed an lncRNA similarity network by integrating known lncRN ...
gene interactions with disease-lncRNA relationships. Then, they prioritized disease-related lncRNA by using the random walking w ...
submits text file with multiple sequences, the user uploads the text with multiple sequences (1) and provides email address (2) ...
lncRNAs has been used to prioritize candidate lncRNAs. However, a limited number of lncRNAs are proved to relate with diseases. ...
Chen et al. [58] proposed a semi-supervised learning framework to predict lncRNA-disease associations. It integrated lncRNA expr ...
3.3 Other Methods Based on the fact that special disease has close association with special tissue, Liu et al. [65] proposed a c ...
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