Description
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 am – 11:30 am
Concepts Covered:
- Datasets/features/methods/evaluation
Learning outcome:
- Efficiently and systematically approaching a bioinformatics problem
Module 2: An Introduction to Weka Machine Learning Workbench
Timings: 11:30 am – 1pm
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
Timings: 2 pm – 4 pm
Concepts Covered:
Working example
Learning outcome:
Learn methods and validation procedures in WEKA
Live session: 5 hrs
Day 2
Project 1:
Distinguishing two sets of data
Timings: 10:00 am – 1 pm
Project 2:
Predicting real values
Timings: 2 pm – 4 pm
Learning outcome:
- Reliable methods and interpretations for prediction
Live session: 5 hrs
Session dates: 3rd – 4th September, 2022
Time: 3rd September 10am – 1pm, 2pm-4pm
4th September 10am – 1pm, 2pm-4pm
Last date of Registration: August 29th, 2022
Profile of the Instructor(s)
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 300 research articles/reviews, 10 editorials and two books on Protein Bioinformatics (Elsevier/Academic Press) and Protein interactions (World Scientific). His papers received about 13,000 citations and his h-index is 60.
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 the topmost 0.5% of researchers in Bioinformatics/Biophysics/overall in the world.
Eligibility & Fees
Basic qualification of participants:
Basic knowledge in programming would be beneficial, but not mandatory
Eligibility criteria:
BSc/BTech etc. (pursuing/ completed) MSc/MTech; PhD
Fees breakup for the workshop:
- Students(UG/PG) : 500 +18% GST = Rs.590
- Research scholars (PhD): 1000 +18% GST = Rs.1180
- Faculty : 2000 +18% GST = Rs.2360
- Industry: 3000 +18% GST = Rs.3540
Certification
After attending all the sessions and submitting assessments and projects, we will provide you with a workshop completion certificate from NPTEL.
Pooja Rathod (verified owner) –
i learnt new things
BrijeshKumar Arvindbhai Patel (verified owner) –
Workshop was really good and insightful
Tamajit Sadhukhan (verified owner) –
I learn new area of machine learning