Applications of machine learning techniques in biology using Weka – Batch 3

Last day of registration: 6th September, 2023


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SKU: IIT Madras | Dates: September 9th & 10th, 2023 Categories: ,

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


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


10:00 a.m. – 01:00 p.m.

Project 2:

Predicting real values


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

Profile of the Instructor

Prof. M Michael Gromiha received his Ph.D from Bharathidasan University, India and served as STA fellow, RIKEN Researcher, Research Scientist and Senior Scientist at Computational Biology Research Center, AIST, Japan till 2010. Currently, he is working as a Professor at Indian Institute of Technology (IIT) Madras, India. He is teaching courses on bioinformatics, protein structure and function, protein interactions: computational techniques and handling computational biology lab. His main research interests are computational studies on protein structure and function, mutational analysis, machine learning techniques and development of databases and algorithms. He has published over 350 research articles/reviews, 10 editorials and two books on Protein Bioinformatics (Elsevier/Academic Press) and Protein interactions (World Scientific). His papers received about 14,000 citations and his h-index is 61. He has received several awards including Institute Research and Development Award, Tamil Nadu Scientist Award, ASC Masila Vijay Award for excellence in scientific research and publications. He is serving as Associate Editor/Editorial Board Member in 10 internationally reputed journals. He is ranked as topmost 0.5% of researchers in Bioinformatics/Biophysics/overall in the world. He is a Fellow of the Indian National Science Academy (FNA).

Eligibility & Fees

Basic qualification of participants:

Desirable academic qualification:

B.Sc/B.Tech etc. (pursuing/ completed); M.Sc/M.Tech; PhD

Basic knowledge in programming would be beneficial, but not mandatory.

Fees breakup for the workshop:

  • Students(UG/PG) : 944  (₹800 +18% GST)
  • Research scholars (PhD): ₹1416  (₹1200 +18% GST) 
  • Faculty : 2360  (2000 +18% GST)
  • Industry: 3540  (3000 +18% GST)


Regular attendance, A Short Assessment (MCQ) and Project.

Number & Type of Assessment :

Assessment with objective type questions – 3
Short projects – 2

Intended Audience

Students, PhD scholars, Teachers, Industry


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