Description about the Workshop

This workshop aims to provide in-depth knowledge with working examples to utilize machine learning techniques in biological research problems such as classification and real value prediction. A systematic approach for developing an efficient computational tool will be explained in detail with assessment procedures and extensive tutorials. The projects designed in this workshop will help to follow the protocol independently and achieve the goal. The participants of the workshop will be capable of developing reliable bioinformatics tools upon successful completion of the program.

Mode of workshop: Online

Day 1

Module 1: Development of Algorithm

Timings: 10:00 a.m. – 11:30 a.m.

Concepts Covered: 

• Datasets/features/methods/evaluation.

Learning outcome:

• Efficiently and systematically approaching a bioinformatics problem.

Assessment: Multiple Choice Question

Module 2: An Introduction to Weka Machine Learning Workbench

Timings: 11:30 a.m. – 01:00 p.m.

Concepts Covered: 

Machine learning techniques/input features/interpretation of output

Learning outcome:

Features available in Weka and details on input and output files.

Assessment: Multiple Choice Question

Module 3: Live Demo

Timings:

02:00 p.m. – 04:00 p.m.

Concepts Covered:

Working example

Learning outcome:

Learn methods and validation procedures in WEKA

Assessment: Multiple Choice Question

Day 2

Project 1:

Distinguishing two sets of data

Timings:

10:00 a.m. – 01:00 p.m.

Project 2:

Predicting real values

Timings:

02:00 p.m. – 04:00 p.m.

Learning outcome:

• Reliable methods and interpretations for prediction

Assessment: Short Project

Session dates: 9th & 10th September, 2023

Time: 9th September,2023 :  10:00 a.m. – 01:00 p.m. &  02:00 p.m. – 04:00 p.m.

             10th September,2023 :  10:00 a.m. – 01:00 p.m. &  02:00 p.m. – 04:00 p.m.

Last date of Registration: September 6, 2023