A5101997668- Data Visualization and Analytics
- Computational Drug Discovery Methods
- Time Series Analysis and Forecasting
- Data Management and Algorithms
- Advanced Text Analysis Techniques
- Video Analysis and Summarization
- Complex Network Analysis Techniques
- Advanced Database Systems and Queries
- Wheat and Barley Genetics and Pathology
- HIV Research and Treatment
- HIV/AIDS drug development and treatment
- Plant Disease Resistance and Genetics
- Receptor Mechanisms and Signaling
- Image and Video Quality Assessment
- CAR-T cell therapy research
- Multimedia Communication and Technology
- Biochemical and Molecular Research
- Bioinformatics and Genomic Networks
- Sentiment Analysis and Opinion Mining
- Analytical Chemistry and Chromatography
- Cancer-related molecular mechanisms research
- Data Analysis with R
- RNA modifications and cancer
- Text and Document Classification Technologies
- Soft Robotics and Applications
Shanghai Maritime University
2025
Harbin Engineering University
2024
Ministry of Industry and Information Technology
2024
Frederick National Laboratory for Cancer Research
2021-2024
Jilin University
2022-2024
Tsinghua University
2023-2024
Sichuan Agricultural University
2021-2024
Taylor's University
2024
Hohai University
2024
Shaanxi University of Chinese Medicine
2023
Abstract DAVID is a popular bioinformatics resource system including web server and service for functional annotation enrichment analyses of gene lists. It consists comprehensive knowledgebase set analysis tools. Here, we report all updates made in 2021. The Gene was rebuilt to gain coverage more organisms, which increased the taxonomy from 17 399 55 464. All existing types have been updated, if available, based on new system. Compared with last version, number gene-term records most within...
Drug-drug interactions (DDIs) may lead to adverse effects and potentially result in drug withdrawal from the market. Predicting DDIs during development would help reduce costs time by rigorous evaluation of candidates. The primary mechanisms are based on pharmacokinetics (PK) pharmacodynamics (PD). This study examines 2D structural similarities drugs DDI prediction through interaction networks including both PD PK knowledge. Our assumption was that a query (Dq) be examined (De) likely have...
In this work, we propose a dual-network integrated logistic matrix factorization (DNILMF) algorithm to predict potential drug-target interactions (DTI). The prediction procedure consists of four steps: (1) inferring new drug/target profiles and constructing profile kernel matrix; (2) diffusing drug with structure (3) target sequence (4) building DNILMF model smoothing predictions based on their neighbors. We compare our the state-of-the-art method benchmark dataset. Results indicate that...
Abstract Purpose: Anti-CD19 chimeric antigen receptor (CAR) T cells represent a novel immunotherapy and are highly effective in treating relapsed/refractory B-cell non-Hodgkin's lymphoma (B-NHL). How tumor microenvironment influences clinical response to CAR therapy remains of great interest. Patients Methods: A phase I, first-in-human, dose-escalation study anti-CD19 JWCAR029 was conducted refractory B-NHL (NCT03355859) 10 patients received at an escalating dose 2.5 × 107(n = 3), 5 4), 1...
Today, online stores collect a lot of customer feedback in the form surveys, reviews, and comments. This is categorized some cases responded to, but general it underutilized - even though satisfaction essential to success their business. In this paper, we introduce several new techniques interactively analyze comments ratings determine positive negative opinions expressed by customers. First, discrimination-based technique automatically extract terms that are subject or opinion (such as...
In a growing follicle, the survival and maturation of oocyte largely depend on support from somatic cells to facilitate FSH-induced mutual signaling chemical communication. Although apoptosis autophagy in are involved process follicular development, underlying mechanisms require substantial study. According our study, along with antral follicles (AFs) formation, both lysine-specific demethylase 1 (LSD1) protein levels increased simultaneously granulosa (GCs) time-dependent manner, we...
Scatter Plots are one of the most powerful and widely used techniques for visual data exploration. A well-known problem is that scatter plots often have a high degree overlap, which may occlude significant portion values shown. In this paper, we propose generalized plot technique, allows an overlap-free representation large sets to fit entirely into display. The basic idea allow analyst optimize overlap distortion generate best-possible view. To effective usage, provide capability zoom...
Time series are a data type of utmost importance in many domains such as business management and service monitoring. We address the problem visualizing large time-related sets which difficult to visualize effectively with standard techniques given limitations current display devices. propose framework for intelligent time- data-dependent visual aggregation along multiple resolution levels. This idea leads effective visualization support long time-series providing both focus context. The...
Twitter currently receives about 190 million tweets (small text-based Web posts) a day, in which people share their comments regarding wide range of topics. A large number include opinions products and services. However, with being relatively new phenomenon, these are underutilized as source for evaluating customer sentiment. To explore high-volume twitter data, we introduce three novel time-based visual sentiment analysis techniques: (1) topic-based that extracts, maps, measures opinions;...
<title>Abstract</title> Congenital heart disease (CHD) is the most common birth defect worldwide, which lacks effective early preventive methods due to limited knowledge of genetic defects involved in its development. Through analysis families with congenital (CHD), we identified a correlation between R755W variant platelet isoform phosphofructokinase 1 (PFKP) and myocardial hypoplasia. Furthermore, PFKP<sup>R754W/R754W</sup> PFKP knockout mice exhibited hypoplasia phenotype during embryonic...
Simple presentation graphics are intuitive and easy-to-use, but show only highly aggregated data presenting a very small number of values (as in the case bar charts) may have high degree overlap occluding significant portion x-y plots). In this article, authors therefore propose generalization traditional charts plots, which allows visualization large amounts data. The basic idea is to use pixels within bars present detailed information records. so-called pixel retain intuitiveness while...
The detection of frequently occurring patterns, also called motifs, in data streams has been recognized as an important task. To find these we use advanced event encoding and pattern discovery algorithm. As a large time series can contain hundreds there is need to support interactive analysis exploration. In addition, for certain applications, such center resource management, service managers want be able predict the next day’s power consumption from previous months’ data. For this purpose,...
Bread wheat (Triticum aestivum) is a staple food crop worldwide. The genetic dissection of important nutrient traits essential for the biofortification to meet nutritional needs world's growing population. Here, 45298 single-nucleotide polymorphisms (SNPs) from 55K chip arrays were used genotype panel 768 cultivars; total 154 quantitative trait loci (QTLs) detected eight under three environments by genome-wide association study (GWAS). Three QTLs (qMn-3B.1, qFe-3B.4, and qSe-3B.1/qFe-3B.6)...
This article describes automatic methods and interactive visualizations that are tightly coupled with the goal to enable users detect interesting portions of text document streams. In this scenario interestingness is derived from sentiment, temporal density, context coherence comments about features for different targets (e.g., persons, institutions, product attributes, topics, etc.) have. Contributions made at stages visual analytics pipeline, including novel ways visualize salient...
An unusually large data set of 397 piperazinyl-glutamate-pyridines/pyrimidines as potent orally bioavailable P2Y12 antagonists for inhibition platelet aggregation was studied the first time based on combination three-dimensional quantitative structure–activity relationship (3D-QSAR), molecular docking, and dynamics (MD) methods. The comparative field analysis (CoMFA) similarity index (CoMSIA) studies have been performed with a training 317 compounds, estimating three superimposition best...
The methods based on the combination of word-level and character-level features can effectively boost performance Chinese short text classification. A lot works concatenate two-level with little processing, which leads to losing feature information. In this work, we propose a novel framework called Mutual-Attention Convolutional Neural Networks, integrates word without too much We first generate two matrices aligned information by multiplying character trainable matrix. Then, stack them as...