[center] Bioinformatics in Cancer research: Discover the biomarkers Published 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 2m | 1.72 GB[/center] Mastering Health Bioinformatics: Biomarker Discovery, Genomic Analysis, and Functional Insights for research papers
What you'll learn Biomarker Fundamentals: Understand the fundamental concepts of biomarkers, including their types, significance in health research, and applications Data Handling: Learn how to access, manage, and preprocess large-scale biological data, including genomics, transcriptomics, and proteomics data. Bioinformatics Tools: Gain proficiency in using bioinformatics tools and software for data analysis, including R, Python, and specialized biomarker Statistical Analysis: Master statistical techniques and methodologies for identifying differentially expressed genes or proteins that serve Data Visualization: Learn to create informative data visualizations to represent findings and insights, aiding in the interpretation of results. Biomarker Discovery: Explore various methods for identifying and validating biomarkers, with a focus on their role in health research. Integration of Omics Data: Understand how to integrate data from different omics levels (genomics, transcriptomics, proteomics) to discover multi-dimensional Hands-on Experience: Gain practical experience by working with real data, performing analyses, and presenting research findings. Interdisciplinary Collaboration: Learn the importance of collaboration between bioinformaticians, biologists, clinicians, and other experts in health research. Upon completing this course, students will be well-equipped to conduct biomarker research, interpret data, and contribute to the field of health bioinformatics
Mã: https://www.udemy.com/course/bioinformatics-in-cancer-research-discover-the-biomarkers/
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