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Chapter and Conference Paper
LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction
Since the abnormal expressions of microRNAs (miRNAs) were likely to induce human diseases and traditional biological methods for predicting miRNA-disease associations (MDAs) are costly and time-consuming, it i...
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Article
Open AccessMCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations
MicroRNAs (miRNAs) are non-coding RNAs with regulatory functions. Many studies have shown that miRNAs are closely associated with human diseases. Among the methods to explore the relationship between the miRNA...
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Chapter and Conference Paper
Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection
Non-negative Matrix Factorization (NMF) algorithm is a useful method for data dimensionality reduction, which is performed with the Euclidean distance. However, the basic NMF only assumes that data will be des...
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Article
Open AccessWeak localization of bismuth cluster-decorated graphene and its spin–orbit interaction
Weak-localization (WL) measurements were performed in a Bi cluster-decorated graphene sheet. The charge concentration was kept constant, and the amplitude of the conductance correction was suppressed after the...
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Article
Open AccessRaman enhancement by graphene-Ga2O3 2D bilayer film
2D β-Ga2O3 flakes on a continuous 2D graphene film were prepared by a one-step chemical vapor deposition on liquid gallium surface. The composite was characterized by optical microscopy, scanning electron microsc...
