Workshop Registration End Date :2024-07-25

Virtual Workshop

Prediction of Immunogenic Response using Orange: A Machine Learning Tool

Unleash the Power of Machine Learning in Immunology with Orange

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MODE
Virtual (Google Meet)
TYPE
Mentor Based
LEVEL
Beginners
DURATION
3 Days (1.5 Hours/Day)
Start Date
25 – Jul – 24
Time
08:00 PM onwards IST

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.

Aim

To develop an effective prediction model by using a large number of feature selection and classification methods.

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.

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

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.

Important Dates

Registration Ends

2024-07-25
Indian Standard Timing 07:00 PM

Workshop Dates

2024-07-25 to 2024-07-27
Indian Standard Timing 08:00 PM onwards

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.


Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2699
USD. 85

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Certificate

wsCertificate

  • Access to Live Lectures
  • Access to Recorded Sessions
  • e-Certificate
  • Query Solving Post Workshop

Future Career Prospects

  • Bioinformatics Analyst
  • Data Scientist in Biotechnology
  • Research Scientist in Immunology
  • Machine Learning Engineer in Healthcare
  • Computational Biologist
  • Pharmaceutical Data Analyst

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