Prediction of Immunogenic Response using Orange: A Machine Learning Tool
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Workshop Registration End Date :2024-07-25
Program Syllabus
Module 1
About
Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative qualitative data analysis and interactive data visualization. Orange. Developer(s) University of Ljubljana. Orange is a visual programming environment for data science and machine learning projects. The machine learning based prediction algorithms such as tree, logistic regression, random forest, and SVM may be used and validate with leave one out (LOO), random sampling and cross validation test-scoring methods to identify the immunogenic response.
Module 2
Aim
To develop an effective prediction model by using a large number of feature selection and classification methods.
Module 3
Workshop Objectives
- To make computational predictions about antigenicity of peptides by developing a computational model using the training and testing data set.
- To predict the features that are effective in identifying the immunogenic response.
Module 4
Workshop Structure
Day 1:
- Orange 3 introduction
- Overview of Orange3 and simulated data set of protein
- Overview of machine learning algorithm
Day 2:
- Machine learning methods and prediction model
- Prediction model based on Tree Classification, Logistics Regression
- Prediction model based on Random Forest, SVM
Day 3:
- Feature Ranking and Visualization
- PCA, Hierarchical Clustering
- Feature Ranking and Scoring
Module 5
Participant’s Eligibility
- Undergraduate degree in Bioinformatics, Biotechnology, Computer Science, or related fields.
- Professionals in the pharmaceutical or biotechnology industries.
- Individuals with a keen interest in machine learning and immunology.
Module 6
Important Dates
Module 7
Registration Ends
2024-07-25
Indian Standard Timing 07:00 PM
Module 8
Workshop Dates
2024-07-25 to 2024-07-27
Indian Standard Timing 08:00 PM onwards
Module 9
Workshop Outcomes
- Ability to develop computational models for predicting immunogenic response.
- Proficiency in using Orange for data visualization and machine learning.
- Knowledge of various machine learning algorithms and their applications.
- Enhanced skills in feature selection and classification methods.
- Practical experience in validating prediction models.
Module 10
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Mentor Profile
Name: Dr. Md Afroz Alam
Designation: Professor and Head
Affiliation: Department of Bioinformatics, Shalom New Life College, Bengaluru, Karnataka
Designation: Professor and Head
Affiliation: Department of Bioinformatics, Shalom New Life College, Bengaluru, Karnataka
Dr. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.
Module 11
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 12
Student
INR. 1399
USD. 50
Module 13
Ph.D. Scholar / Researcher
INR. 1699
USD. 55
Module 14
Academician / Faculty
INR. 2199
USD. 60
Module 15
Industry Professional
INR. 2699
USD. 85
List of Currencies
Module 16
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Certificate
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 17
Future Career Prospects
- Bioinformatics Analyst
- Data Scientist in Biotechnology
- Research Scientist in Immunology
- Machine Learning Engineer in Healthcare
- Computational Biologist
- Pharmaceutical Data Analyst
Module 18
Current Participants* Analytics
Module 19
Country
Module 20
Profession
Module 21
Affiliation
Note: The information shown in the above-mentioned analytics is live and may include information that is not completely correct like spelling mistakes, grammatical mistakes , factual errors or even mis representation as this is what participants have entered, the information is currently not edited and or filtered , but at later stages they will be filtered to provide true data representation.
Module 22
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
Module 23
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Prediction of Immunogenic Response using Orange: A Machine Learning Tool
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Prediction of Immunogenic Response using Orange: A Machine Learning Tool
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
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