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Article
Open AccessSpark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering
It is a challenge to assemble an enormous amount of metagenome data in metagenomics. Usually, metagenome cluster sequence before assembly accelerates the whole process. In SpaRC, sequences are defined as nodes...
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Article
Open AccessDGDTA: dynamic graph attention network for predicting drug–target binding affinity
Obtaining accurate drug–target binding affinity (DTA) information is significant for drug discovery and drug repositioning. Although some methods have been proposed for predicting DTA, the features of proteins...
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Article
Open AccessForestSubtype: a cancer subtype identifying approach based on high-dimensional genomic data and a parallel random forest
Cancer subtype classification is helpful for personalized cancer treatment. Although, some approaches have been developed to classifying caner subtype based on high dimensional gene expression data, it is diff...
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Article
Open AccessINSnet: a method for detecting insertions based on deep learning network
Many studies have shown that structural variations (SVs) strongly impact human disease. As a common type of SV, insertions are usually associated with genetic diseases. Therefore, accurately detecting insertio...
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Article
Open AccessAn efficient privacy-preserving recommender system in wireless networks
Recommender systems have been widely used for implementing personalised content on many mobile online services to reduce computational overload and preserve wireless data for users. The underlying mechanisms u...
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Article
Open AccessDeep learning approach for cancer subtype classification using high-dimensional gene expression data
Studies have shown that classifying cancer subtypes can provide valuable information for a range of cancer research, from aetiology and tumour biology to prognosis and personalized treatment. Current methods u...
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Article
Open AccessPredicting Propositional Satisfiability Based on Graph Attention Networks
Boolean satisfiability problems (SAT) have very rich generic and domain-specific structures. How to capture these structural features in the embedding space and feed them to deep learning models is an importan...
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Article
Open AccessA novel liver cancer diagnosis method based on patient similarity network and DenseGCN
Liver cancer is the main malignancy in terms of mortality rate, accurate diagnosis can help the treatment outcome of liver cancer. Patient similarity network is an important information which helps in cancer d...
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Article
Open AccessA Distributed Attribute Reduction Algorithm for High-Dimensional Data under the Spark Framework
Attribute reduction is an important issue in rough set theory. However, the rough set theory-based attribute reduction algorithms need to be improved to deal with high-dimensional data. A distributed version o...
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Chapter and Conference Paper
Efficient Hash-Based Redactable Signature for Smart Grid Applications
The sharing of energy usage data in smart grids is becoming increasingly popular because it not only allows different entities to access fine-grained energy consumption data but also improves the effectiveness...
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Chapter and Conference Paper
An Efficient Clustering-Based Privacy-Preserving Recommender System
Recommender systems help online services deliver personalised content and facilitate information overload. Collaborative Filtering is a commonly used technique for building recommender systems. It analyses dat...
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Chapter and Conference Paper
Efficient Privacy-Preserving User Matching with Intel SGX
User matching is one of the most essential features that allows users to identify other people by comparing the attributes of their profiles and finding similarities. While this facility enables the exploratio...
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Article
Open AccessBreakNet: detecting deletions using long reads and a deep learning approach
Structural variations (SVs) occupy a prominent position in human genetic diversity, and deletions form an important type of SV that has been suggested to be associated with genetic diseases. Although various d...
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Article
Tumor detection for whole slide image of liver based on patch-based convolutional neural network
Liver cancer has a huge negative impact on the human survival. However, the traditional histopathological diagnostic methods have a large burden on the clinical diagnosis due to the large workload required. To...
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Chapter and Conference Paper
Halftone Image Steganography Based on Minimizing Distortion with Pixel Density Transition
Many advanced halftone steganographic schemes focus only on the distortion of human visual perception or the distortion according to statistics. In this paper, a halftone image steganography based on minimizin...
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Chapter and Conference Paper
A Usability Study of Cryptographic API Design
Software developers interact with cryptographic components via APIs provided by a cryptographic library to protect sensitive information such as passwords and files. While cryptographic algorithms have been st...
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Chapter and Conference Paper
Halftone Image Steganalysis by Reconstructing Grayscale Image
Utilizing some special pixels patterns constructing the steganalytic features is popular in binary image steganalysis, which could be also used in halftone image. There is almost no specific image steganalysis...
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Article
Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm
Due to the presence of irrelevant or redundant data in microarray datasets, capturing potential patterns accurately and directly via existing models is difficult. Feature selection (FS) has become a necessary ...
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Article
Open AccessCorrection to: SLR: a scaffolding algorithm based on long reads and contig classification
Following publication of the original article [1], the author reported that there is an error in the original article.
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Article
Open AccessSLR: a scaffolding algorithm based on long reads and contig classification
Scaffolding is an important step in genome assembly that orders and orients the contigs produced by assemblers. However, repetitive regions in contigs usually prevent scaffolding from producing accurate result...
