Description about the Workshop
This workshop aims to provide in-depth knowledge and practical examples for applying machine learning techniques in biological/biomedical research on two aspects: (i) a classification problem, discriminating disease and neutral mutations in proteins and (ii) a real value prediction, predicting the inhibitory concentration of compounds for a drug target. 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.
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).
Session Schedule
Day 1 :
Module 1: Development of Algorithm (10:00 a.m. - 11:30 a.m)
Concepts Covered:
Datasets/features/methods/evaluation.
Learning outcome:
Efficiently and systematically approaching a bioinformatics problem.
Module 2: An Introduction to Weka Machine Learning Workbench (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.
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: (10:00 a.m. - 01:00 p.m.)
Distinguishing between disease and neutral mutations
Learning outcome:
Reliable methods and interpretations for discrimination
Project 2: (02:00 p.m. - 04:00 p.m.)
Predicting inhibitory concentration of compounds for a drug target
Learning outcome:
Reliable methods and interpretations for prediction
Assessment : Short Project
Eligibility
Desirable academic qualification:
B.Sc/B.Tech/ M.Sc/M.Tech /PhD etc. (Pursuing/ Completed);
Basic knowledge in programming would be beneficial, but not mandatory.
Intended Audience:
Students, PhD scholars, Teachers, Industry
Certification
- Regular attendance, A short assessment (MCQ) and Project.
Number & Type of Assessment :
- Assessment with objective type question - 1
Short Projects - 2
Fees for the Workshop
Students : Rs. 1,180 (1000 + 18% GST)
Research scholars : Rs. 1,770 (1500 + 18% GST)
Faculty : Rs. 2,360 (2000 + 18% GST)
Industry : Rs. 3,540 (3000 + 18% GST)
Session Details
Date of the Workshop : 7th & 8th March, 2026
Timings : 10:00 a.m. - 01:00 p.m. & 02:00 p.m. - 04:00 p.m. (same for both the days)
Mode of the Workshop : Online
Reviews
Session was too nice, I learned a lot for the WEKA. I can do more practice to understand well but this session gives a lot more insights on the Machine Learning using WEKA. - NIKUNJKUMAR BHARATBHAI NAYAK - Student (10)
It was very informative and beginner friendly. - Shrawanthi P - Student (10)
OVERALL WORKSHOP WAS BENEFICIAL, AND INTRESTING, HELPED ME TO LEARN HOW TO WORK ON WEKA SOFTWARE. - AYUSH KUMAR PRAJAPATI - Student (9)
I really loved this workshop. Truly very knowledgable for the field I want to work in. A big thank you to Michael Gromiha sir to all the TAs, Fathima ma'am, Lekshmi ma'am and Sankaran sir for answering all our questions patiently. It was truly an amazing experience - Shivaanika G.M. - Student (10)
It was new to me due to biochemistry background but I could understand it best and maybe use it in future. Thank you - Y SANGEETA - Research scholar (10)
Very Useful and informative session. Clearly explained all the concepts for Hands - on. Thank you - K SRI DEVI - Faculty (10)
Thanks to Prof. Michael Gromiha sir and his team for conducting this wonderful workshop. It was very useful for all of us biotech and ML students. - Anamika Chakravarty - Student(10)
