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Mar 31, 2023Open Access
Objective: To identify the candidate hub genes of prostate cancer (PCa) and investigate the relevance of the genes on the development of PCa by bioinformatics methods. Methods: The mRNA expression profile datasets GSE103512 was collected from GEO database, and find out differential expression genes (DEGs) between PCa and normal tissues using the GEO2R tool. Subsequently, to further elucidate the interaction of DEGs and screen the hub genes, we conducted GO and KEGG enrichment analysis by DAVID 6...
Nov 30, 2022Open Access
Species invasion will cause certain harm to the local ecosystem. Vespa mandarinia, discovered on Vancouver Island, is harmful to agriculture and predators of European honeybees. The government tried to use a crowdsourcing system to collect information and formulate policies to eliminate Vespa mandarinia. However, the information provided by the local population about Vespa mandarinia is not entirely accurate. For this problem, we build a method to mine trusted informat...
May 23, 2022Open Access
This paper aims to clarify the current research status and hot spots, as well as to predict future research trends about radical S-adenosyl-methionine (SAM) enzymes. We conducted this study based on 649 research papers about radical SAM enzymes published in the years of 1999 to 2020 on the Web of Science. Tools like CiteSpace were employed for statistical and visual network analysis of the time of publication, national cooperative relations, core authors, and co-word networks. Our findings inclu...
Sep 01, 2020Open Access
An important feature of blockchain technology is that all participants jointly maintain transaction data and can achieve mutual trust relationships without integrated control, which relies on distributed consensus algorithms. Practical Byzantine Fault Tolerant algorithm (PBFT) is a fault-tolerant algorithm based on state machine replication, which solves the Byzantine error, that is, the malicious behavior of nodes. In PBFT, all participating nodes are divided into the primary node and backup no...
Jun 24, 2020Open Access
Human cancer, which has complex pathogenesis, is generally relative to the dysfunction of biological systems. Thus, our research is not at molecular level, but at system level, i.e. molecular network. In this paper, specially, we use PPI network. In order to construct a PPI network, we used the SSN method which is proposed by Professor X. Liu and others. The SSN method is distinct from the traditional network methods, especially in screening differential expressed genes. Besides, the traditional...
Mar 15, 2018Open Access
In silico analysis can be useful to infer about the
horizontal gene transfer (HGT) as well as to deduce about the evolutionary
relations of catabolic genes. In this study, we performed the analysis of two
housekeeping genes (fabD and rpoD) and two catabolic gene ...
Mar 12, 2018Open Access
The imbalance between oxidant molecules and
antioxidant agents is characterized as oxidative stress (OS) and may lead to
severe damage to the organism. In contrast, the physical training of aerobic
and resistive character promotes increases of the antioxidant response,
resulting in a balance and/or minimizing damage. Therefore, the objective of
the study is to verify the effect of aerobic training, resistive training and
concurren ...
Jul 29, 2016Open Access
Genetic epidemiological studies have suggested that several genetic
variants increase the risk for hypertension.
It is likely that a number of genes rather than a single gene account for
the heritability of this complex disorder. However, the genetic analysis of
hypertension produced complex, inconsistent
and nonreproducible results, which makes it difficult to draw conclusions
about the association between specific genes
and hype ...
Mar 30, 2016Open Access
Motif discovery is one of the fundamental problems that have important applications
in identifying drug targets and regulatory sites. Regulatory sites on DNA
sequence normally correspond to shared conservative sequence patterns among the
regulatory regions of correlated genes. These conserved sequence patterns are
called motifs. Identifying motifs and corresponding instances is very
important, so biologists can investigate the interactions between DNA and
proteins, gene regulation, cell developm...
Sep 24, 2014Open Access
The Wisconsin Breast Cancer Dataset has been heavily cited as a benchmark dataset for classification. Neural Network techniques such as Neural Networks, Probabilistic Neural Networks, and Regression Neural Networks have been shown to perform very well on this dataset. However, despite its obvious practical importance and implications for cancer research, a thorough investigation of all modern classification techniques on this dataset remains to be done. In this paper we examine the efficacy of c...
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