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- Volume 14, Issue 8, 2019
Current Bioinformatics - Volume 14, Issue 8, 2019
Volume 14, Issue 8, 2019
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Relevance of Machine Learning Techniques and Various Protein Features in Protein Fold Classification: A Review
Authors: Komal Patil and Usha ChouhanBackground: Protein fold prediction is a fundamental step in Structural Bioinformatics. The tertiary structure of a protein determines its function and to predict its tertiary structure, fold prediction serves an important role. Protein fold is simply the arrangement of the secondary structure elements relative to each other in space. A number of studies have been carried out till date by different research groups working world Read More
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A New Comprehensive Index for Evaluating the Quality of Infant Formula under the Framework of Chinese Food Standards
Authors: Ming Zhang, Li Zhang and Hongsheng LiuObjective: We proposed a new comprehensive index, the food quality index (FQI), to effectively evaluate food quality. Methods: The food quality index is based on chemical and biological indicators of the Chinese food standards framework. We evaluated the limit value regulations for infant formula standards and then established a comprehensive index and grading standard. Finally, we applied the index to evaluate data obt Read More
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Predicting Drug Side Effects with Compact Integration of Heterogeneous Networks
Authors: Xian Zhao, Lei Chen, Zi-Han Guo and Tao LiuBackground: The side effects of drugs are not only harmful to humans but also the major reasons for withdrawing approved drugs, bringing greater risks for pharmaceutical companies. However, detecting the side effects for a given drug via traditional experiments is time- consuming and expensive. In recent years, several computational methods have been proposed to predict the side effects of drugs. However, most of t Read More
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The “Gene Cube”: A Novel Approach to Three-dimensional Clustering of Gene Expression Data
Authors: George I. Lambrou, Maria Sdraka and Dimitrios KoutsourisBackground: A very popular technique for isolating significant genes from cancerous tissues is the application of various clustering algorithms on data obtained by DNA microarray experiments. Aim: The objective of the present work is to take into consideration the chromosomal identity of every gene before the clustering, by creating a three-dimensional structure of the form Chromosomes×Genes×Samples. Further on, th Read More
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Estimating Bifurcating Consensus Phylogenetic Trees Using Evolutionary Imperialist Competitive Algorithm
Authors: Vageehe Nikkhah, Seyed M. Babamir and Seyed S. ArabBackground: One of the important goals of phylogenetic studies is the estimation of species-level phylogeny. A phylogenetic tree is an evolutionary classification of different species of creatures. There are several methods to generate such trees, where each method may produce a number of different trees for the species. By choosing the same proteins of all species, it is possible that the topology and arrangement of trees wo Read More
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VirDB: Crowdsourced Database for Evaluation of Dynamical Viral Infection Models
Background: Open science is an emerging movement underlining the importance of transparent, high quality research where results can be verified and reused by others. However, one of the biggest problems in replicating experiments is the lack of access to the data used by the authors. This problem also occurs during mathematical modeling of a viral infections. It is a process that can provide valuable insights in Read More
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HS-MMGKG: A Fast Multi-objective Harmony Search Algorithm for Two-locus Model Detection in GWAS
Authors: Liyan Sun, Guixia Liu, Lingtao Su and Rongquan WangBackground: Genome-Wide Association Study (GWAS) plays a very important role in identifying the causes of a disease. Because most of the existing methods for genetic-interaction detection in GWAS are designed for a single-correlation model, their performances vary considerably for different disease models. These methods usually have high computation cost and low accuracy. Methods: We present a new multi-object Read More
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A New Model of Identifying Differentially Expressed Genes via Weighted Network Analysis Based on Dimensionality Reduction Method
Authors: Mi-Xiao Hou, Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, Sha-Sha Wu and Sha-Sha YuanBackground: As a method to identify Differentially Expressed Genes (DEGs), Non- Negative Matrix Factorization (NMF) has been widely praised in bioinformatics. Although NMF can make DEGs to be easily identified, it cannot provide more associated information for these DEGs. Objective: The methods of network analysis can be used to analyze the correlation of genes, but they caused more data redundancy and great comple Read More
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Transcriptional Regulation Analysis of Alzheimer's Disease Based on FastNCA Algorithm
Authors: Qianni Sun, Wei Kong, Xiaoyang Mou and Shuaiqun WangBackground: Understanding the relationship between genetic variation and gene expression is a central issue in genetics. Although many studies have identified genetic variations associated with gene expression, it is unclear how they perturb the underlying regulatory network of gene expression. Objective: To explore how genetic variations perturb potential transcriptional regulation networks of Alzheimer’s disease (AD Read More
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Genome-wide Differential-based Analysis of the Relationship between DNA Methylation and Gene Expression in Cancer
Authors: Yuanyuan Zhang, Chuanhua Kou, Shudong Wang and Yulin ZhangBackground: DNA methylation is an epigenetic modification that plays an important role in regulating gene expression. There is evidence that the hypermethylation of promoter regions always causes gene silencing. However, how the methylation patterns of other regions in the genome, such as gene body and 3’UTR, affect gene expression is unknown. Objective: The study aimed to fully explore the relationship between DNA Read More
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Volumes & issues
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Volume 20 (2025)
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Volume 19 (2024)
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Volume 18 (2023)
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Volume 17 (2022)
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Volume 16 (2021)
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Volume 15 (2020)
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Volume 14 (2019)
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Volume 13 (2018)
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Volume 12 (2017)
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Volume 11 (2016)
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Volume 10 (2015)
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Volume 9 (2014)
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Volume 8 (2013)
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Volume 7 (2012)
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Volume 6 (2011)
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Volume 5 (2010)
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Volume 4 (2009)
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Volume 3 (2008)
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Volume 2 (2007)
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Volume 1 (2006)
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