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Article
Open AccessEfficacy of CPET Combined with Systematic Education of Cardiac Rehabilitation After PCI: A Real-World Evaluation in ACS Patients
There are scarce real-world data on the long-term efficacy and safety of cardiopulmonary exercise testing (CPET) combined with the systematic education of cardiac rehabilitation (CR) approach for patients post...
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Article
DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning
The identification of blood-secretory proteins and the detection of protein biomarkers in the blood have an important clinical application value. Existing methods for predicting blood-secretory proteins are ma...
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Article
CircRNAFisher: a systematic computational approach for de novo circular RNA identification
Circular RNAs (circRNAs) are emerging species of mRNA splicing products with largely unknown functions. Although several computational pipelines for circRNA identification have been developed, these methods st...
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Article
Open AccessFeasibility study of emergency intervention for vascular injury outside the hospital
Minimally invasive surgery in the field of traumatic vascular injury diagnosis and treatment has achieved good results. This study was designed to determine whether pre-hospital emergency intervention is feasi...
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Article
FABP5 correlates with poor prognosis and promotes tumor cell growth and metastasis in cervical cancer
Fatty acid-binding protein 5 (FABP5) was found in our previous study to be a potential biomarker for lymph node metastasis of cervical cancer. However, the roles of FABP5 in cervical cancer remain unclear. In ...
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Article
Open AccessTripartite motif containing 62 is a novel prognostic marker and suppresses tumor metastasis via c-Jun/Slug signaling-mediated epithelial-mesenchymal transition in cervical cancer
TRIM62 (tripartite motif containing 62) has been found to act as a tumor suppressor of several cancers. However, its precise biological role and related mechanism remain unknown in cervical cancer (CC).
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Article
Open AccessGravitation field algorithm and its application in gene cluster
Searching optima is one of the most challenging tasks in clustering genes from available experimental data or given functions. SA, GA, PSO and other similar efficient global optimization methods are used by bi...
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Article
Clonal Selection Based Memetic Algorithm for Job Shop Scheduling Problems
A clonal selection based memetic algorithm is proposed for solving job shop scheduling problems in this paper. In the proposed algorithm, the clonal selection and the local search mechanism are designed to enh...
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Article
A method of gene-function annotation based on variable precision rough sets
It is very important in the field of bioinformatics to apply computer to perform the function annotation for new sequenced bio-sequences. Based on GO database and BLAST program, a novel method for the function...
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Chapter and Conference Paper
Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set
With the extraordinarily increase in genomic sequence data, there is a need to develop an effective and accurate method to deduce the biological functions of novel sequences with high accuracy. As the use of e...
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Chapter and Conference Paper
On Multivariate Wavelets with Trigonometric Vanishing Moments
Wavelets with trigonometric vanishing moments are studied for the first time. A practical construction algorithm of multivariate orthonormal wavelets with trigonometric vanishing moments is proposed. Based on ...
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Article
An improved artificial immune algorithm with a dynamic threshold
An improved artificial immune algorithm with a dynamic threshold is presented. The calculation for the affinity function in the real-valued coding artificial immune algorithm is modified through considering th...
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Chapter and Conference Paper
A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem
A novel quantum swarm evolutionary algorithm is presented based on quantum-inspired evolutionary algorithm in this article. The proposed algorithm adopts quantum angle to express Q-bit and improved particle sw...
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Chapter and Conference Paper
A Hidden Markov Model and Immune Particle Swarm Optimization-Based Algorithm for Multiple Sequence Alignment
Multiple sequence alignment (MSA) is a fundamental and challenging problem in the analysis of biologic sequences. In this paper, an immune particle swarm optimization (IPSO) is proposed, which is based on the ...
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Chapter and Conference Paper
Solving Job-Shop Scheduling Problems by a Novel Artificial Immune System
The optimization of job-shop scheduling is very important because of its theoretical and practical significance. This paper proposes an efficient scheduling method based on artificial immune systems. In the pr...
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Chapter and Conference Paper
A Rough-Set-Based Fuzzy-Neural-Network System for Taste Signal Identification
A voting-mechanism-based fuzzy neural network model for identifying 11 kinds of mineral waters by its taste signals is proposed. In the model, A classification rule extracting algorithm based on discretization...
