Continue your studies with us and you will specialize in data-mining and extraction techniques in genomic oncology. You will notice how you advance your career dramatically"

The main objective of the program is to familiarize students and disseminate IT expertise, which is already applied in other areas of knowledge, but has a minimal implementation in the medical world, despite the fact that for genomic medicine to become a reality, it is necessary to accurately interpret the huge volume of clinical information currently available and associate it with the biological data generated after a bioinformatics analysis.

While this is a difficult challenge, it will allow the effects of genetic variation and potential therapies to be explored quickly, inexpensively and with greater precision than is currently possible.

Humans are not naturally equipped to perceive and interpret genomic sequences, to understand all the mechanisms, pathways and interactions that take place within a living cell, nor to make medical decisions with tens or hundreds of variables. To move forward, a system with superhuman analytical capabilities is required to simplify the work environment and show the relationships and proximities between variables.

In genomics and biology, it is now recognized that it is better to spend resources on new computational techniques than on pure data collection, something that is possibly the same in medicine and, of course, in oncology.

We have millions of data or publications, but when they are analyzed by physicians or biologists, the conclusions are totally subjective and relative to the available publications or data, which are prioritized arbitrarily. This generates partial knowledge, which is increasingly distanced from the genetic and biological knowledge available and supported by computation, so a giant step in the implementation of precision medicine is to reduce this gap through the massive analysis of available medical and pharmacological information.

Update your knowledge through the program in Data Mining and Extraction Techniques in Genomic Oncology”

This Postgraduate certificate in Data Mining and Extraction Techniques in Genomic Oncology contains the most complete and up-to-date scientific program on the market. The most important features include:   

• Dozens of case studies presented by experts in Mining and Data Extraction Techniques in Genomic Oncology
• Its graphic, schematic and practical contents are designed to provide scientific and useful information on those disciplines that are essential for professional practice
• Developments in Data Mining and Extraction Techniques in Genomic Oncology
• Practical exercises where self-assessment can be used to improve learning
• An algorithm-based interactive learning system for decision-making in the clinical situations presented throughout the course
• A special emphasis on evidence-based medicine and research methodologies in Mining and Extraction Techniques in Genomic Oncology
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an internet connection

This Postgraduate certificate may be the best investment you can make when selecting a refresher program, for two reasons: in addition to updating your knowledge in Data Mining and Extraction Techniques in Genomic Oncology, you will obtain a qualification from TECH Global University"

Its teaching staff includes professionals belonging to the field of Data Mining and Extraction Techniques in Genomic Oncology, who bring to this program the experience of their work, as well as recognized specialists belonging to reference societies and universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive program designed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the physician must try to solve the different situations that arise during the Postgraduate certificate. For this, the doctor will be assisted by a novel interactive video system developed by recognized experts in Data Mining and Extraction Techniques in Genomic Oncology with extensive teaching experience.

Increase your confidence in decision-making by updating your knowledge through this program"

Take the opportunity to learn about the latest advances in Data Mining and Extraction Techniques in Genomic Oncology and improve the care of your patients"

The structure of the contents has been designed by a team of professionals from the best hospitals and universities in the country, who are aware of the relevance of up-to-date specialization to be able to intervene in the diagnosis and treatment of oncological pathologies, and are committed to quality teaching through new educational technologies.

This Postgraduate certificate in Data Mining and Extraction Techniques in Genomic Oncology contains the most complete and up-to-date scientific program on the market”

Module 1. Data Mining Applied to Genomics

1.1. Introduction 
1.2. Initiation to Variables 
1.3. Text Cleaning and Conditioning 
1.4. Generating the Word Matrix 

1.4.1. Creating the TDM Word Matrix 
1.4.2. Visualizations on the TDM Word Matrix

1.5. Description of the Word Matrix 

1.5.1. Graphic Representation of the Frequencies 
1.5.2. Creating a Word Cloud 

1.6. Creating a Data Frame for K-NN 
1.7. Creating a Classification Model 
1.8. Validating a Classification Model 
1.9. Guided Practical Exercise on Data Mining in Cancer Genomics

Module 2. Techniques for Extracting Genomic Data

2.1. Introduction to “Scraping Data” 
2.2. Importing Spreadsheet Data Files Stored Online 
2.3. Scraping HTML Text 
2.4. Scraping Data from an HTML Table 
2.5. Using APIs for Data Scraping 
2.6. Extracting Relevant Information 
2.7. Using the Rvest Package of R 
2.8. Obtaining Data Distributed Over Multiple Pages 
2.9. Extracting Genomic Data from the “My Cancer Genome” Platform 
2.10. Extracting Information on Genes from the HGNC HUGO Gene Nomenclature Committee Database 
2.11. Extracting Pharmacological Data from the “OncoKG” (Precision Oncology Knowledge 

Take the opportunity and take the step to get up to date on the latest developments in Data Mining and Extraction Techniques in Genomic Oncology”