-
Article
Open AccessPurinergic receptors mediate endothelial dysfunction and participate in atherosclerosis
Atherosclerosis is the main pathological basis of cardiovascular disease and involves damage to vascular endothelial cells (ECs) that results in endothelial dysfunction (ED). The vascular endothelium is the ke...
-
Chapter and Conference Paper
A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations
Identifying potential causal genes for disease phenotypes is essential for disease treatment and facilitates drug development. Inspired by existing random-walk based embedding methods and the hierarchical stru...
-
Article
Open AccessReport from the Annual Conference of the British Society of Echocardiography, November 2017, Edinburgh International Conference Centre, Edinburgh
-
Article
Dropout non-negative matrix factorization
Non-negative matrix factorization (NMF) has received lots of attention in research communities like document clustering, image analysis, and collaborative filtering. However, NMF-based approaches often suffer ...
-
Chapter and Conference Paper
Heterogeneous Item Recommendation for the Air Travel Industry
Analyzing the travel behaviors and patterns of air passengers have always been of great significance to the air travel industry. Understanding the demands and interests of passengers behind their behaviors is ...
-
Article
Open AccessYiqihuoxue decoction protects against post-myocardial infarction injury via activation of cardiomyocytes PGC-1α expression
Mitochondrial dysfunction has been implicated in the pathogenesis of ischemic heart disease, exacerbating cardiomyocytes injury in myocardial infarction (MI). Peroxisome proliferator-activated receptor gamma c...
-
Article
GC \(^2\) NMF: A Novel Matrix Factorization Framework for Gene–Phenotype Association Prediction
Gene–phenotype association prediction can be applied to reveal the inherited basis of human diseases and facilitate drug development. Gene–phenotype associations are related to complex biological processes and...
-
Article
Metrical Consistency NMF for Predicting Gene–Phenotype Associations
Discovering gene–phenotype associations is significant to understand the disease mechanisms. Nonnegative matrix factorization (NMF) has been widely used in computational biology for its good performance and in...
-
Article
Open AccessPrioritizing disease genes with an improved dual label propagation framework
Prioritizing disease genes is trying to identify potential disease causing genes for a given phenotype, which can be applied to reveal the inherited basis of human diseases and facilitate drug development. Our...
-
Chapter and Conference Paper
IDLP: A Novel Label Propagation Framework for Disease Gene Prioritization
Prioritizing disease genes is trying to identify potential disease causing genes for a given phenotype, which can be applied to reveal the inherited basis of human diseases and facilitate drug development. Our...
-
Chapter and Conference Paper
A Two-Layered Pipeline for Topological Place Recognition Based on Topic Model
In this paper, a two-layered pipeline for topological place recognition is proposed. Based on the Bag-of-Words (BoW) algorithm, Latent Dirichlet Allocation (LDA) is applied to extract the topic distribution of...
-
Article
Hydrogen Gas Inhalation Attenuates Seawater Instillation-Induced Acute Lung Injury via the Nrf2 Pathway in Rabbits
Seawater instillation-induced acute lung injury involves oxidative stress and apoptosis. Although hydrogen gas inhalation is reportedly protective in multiple types of lung injury, the effect of hydrogen gas i...
-
Chapter and Conference Paper
Dropout Non-negative Matrix Factorization for Independent Feature Learning
Non-negative Matrix Factorization (NMF) can learn interpretable parts-based representations of natural data, and is widely applied in data mining and machine learning area. However, NMF does not always achieve...
-
Article
Trajectory planning and tracking control for autonomous bicycle robot
Control of the autonomous bicycle robot offers considerable challenges to the field of robotics due to its nonholonomic, underactuated, and nonminimum-phase properties. Furthermore, instability and complex dyn...
-
Article
Finding similar queries based on query representation analysis
In order to understand user intents behind their queries, many researchers study similar query finding. Recently, the click graph has shown its utility in describing the relationship between queries and URLs. ...
-
Article
Effects of in situ biological treatments on heavy metal release of urban river sediment
A typical river in Yangzhou City was used to study the effects of artificial aeration, eco-brick cover, biological packing cover, and low-sited plant floating beds on the release of heavy metals from urban riv...
-
Chapter and Conference Paper
What to Tag Your Microblog: Hashtag Recommendation Based on Topic Analysis and Collaborative Filtering
Hashtags are often utilized as metadata tags to mark messages for user-defined topics in a microblogging environment. However, difficulties in providing or selecting appropriate hashtags often force users givi...
-
Chapter and Conference Paper
Word Vector Modeling for Sentiment Analysis of Product Reviews
Recent years, an amount of product reviews on the internet have become an important source of information for potential customers. These reviews do help to research products or services before making purchase ...
-
Article
Supervised rank aggregation based on query similarity for document retrieval
This paper is concerned with supervised rank aggregation, which aims to improve the ranking performance by combining the outputs from multiple rankers. However, there are two main shortcomings in previous rank...
-
Chapter and Conference Paper
Modeling Semantic and Behavioral Relations for Query Suggestion
Query suggestion helps users to precisely express their search intents. The state-of-the-art approaches make great progress on high-frequency queries via click graphs. However, due to query ambiguity and click...
