#NetworkAnalyst

[cdraustraliawriters]

Your Path to Becoming an ANZSCO 263113 Network Analyst in Australia

In today’s digital age, the ANZSCO 263113 Network Analyst plays a crucial role in designing, analyzing, and optimizing computer networks for efficient data communication. As demand for skilled network professionals grows, pursuing a career as a Network Analyst opens up rewarding opportunities in Australia.

Key Responsibilities of a Network Analyst:

Analyze and evaluate network designs and performances.

Manage compliance with information assurance laws.

Recommend improvements for optimal performance.

Maintain technical documentation and inventory.

Skills and Qualifications Needed:

Skill Level: Level 1 or equivalent (typically requires a bachelor’s degree).

Additional qualifications: Vendor certifications and relevant experience may be beneficial.

Strong analytical and problem-solving skills.

Visa Options for Network Analysts:

Skilled Nominated 190 Visa

Skilled Regional Nominated 489 Visa

Ensure your occupation is listed on the Short-Term Skilled Occupation List (STSOL).

Why Choose CDR Australia Writer?

Our team of experts specializes in CDR report writing and can help showcase your skills for migration purposes. We pride ourselves on delivering high-quality reports that meet Engineers Australia’s expectations.

Conclusion

Ready to take the first step toward your dream career as a Network Analyst in Australia? Contact CDR Australia Writer today for expert assistance with your CDR service and ensure your journey to success!

[1010computers]

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[phungthaihy]

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[cancersfakianakis1]

Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis

Abstract

Background

Gastric cancer (GC) is a prevalent malignant cancer of digestive system. To identify key genes in GC, mRNA microarray GSE27342, GSE29272, and GSE33335 were downloaded from GEO database.

Methods

Differentially expressed genes (DEGs) were obtained using GEO2R. DAVID database was used to analyze function and pathways enrichment of DEGs. Protein-protein interaction (PPI) network was established by STRING and visualized by Cytoscape software. Then, the influence of hub genes on overall survival (OS) was performed by the Kaplan-Meier plotter online tool. Module analysis of the PPI network was performed using MCODE. Additionally, potential stem loop miRNAs of hub genes were predicted by miRecords and screened by TCGA dataset. Transcription factors (TFs) of hub genes were detected by NetworkAnalyst.

Results

In total, 67 DEGs were identified; upregulated DEGs were mainly enriched in biological process (BP) related to angiogenesis and extracellular matrix organization and the downregulated DEGs were mainly enriched in BP related to ion transport and response to bacterium. KEGG pathways analysis showed that the upregulated DEGs were enriched in ECM-receptor interaction and the downregulated DEGs were enriched in gastric acid secretion. A PPI network of DEGs was constructed, consisting of 43 nodes and 87 edges. Twelve genes were considered as hub genes owing to high degrees in the network. Hsa-miR-29c, hsa-miR-30c, hsa-miR-335, hsa-miR-33b, and hsa-miR-101 might play a crucial role in hub genes regulation. In addition, the transcription factors-hub genes pairs were displayed with 182 edges and 102 nodes. The high expression of 7 out of 12 hub genes was associated with worse OS, including COL4A1, VCAN, THBS2, TIMP1, COL1A2, SERPINH1, and COL6A3.

Conclusions

The miRNA and TFs regulation network of hub genes in GC may promote understanding of the molecular mechanisms underlying the development of gastric cancer and provide potential targets for GC diagnosis and treatment.

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