WEKA: Exploring Machine Learning for Healthcare

From: 1,000.00

Last day of Registration: 15th March, 2024

 

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SKU: IIT Madras | Dates: 6th & 7th April, 2024 Categories: ,

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.

 

Mode of workshop: Online

Session dates: 6th & 7th April, 2024 

Time: 10:00 a.m. – 01:00 p.m. & 02:00 p.m. – 04:00 p.m. (same for both the days)

Last date of Registration: 15th March, 2024

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/ M.Sc/M.Tech /PhD etc. (Pursuing/ Completed);

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

Fees breakup for the workshop:

  • Industry :  Rs.3,540 (3000 + 18% GST)
  • Faculty : Rs. 2,360 (2000 + 18% GST)
  • Research scholars : Rs. 1,770 (1500 + 18% GST)
  • Students : Rs. 1,180 (1000 + 18% GST)

Certification

  • 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

Session Schedule

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.

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.

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 between disease and neutral mutations

Timings:

10:00 a.m. – 01:00 p.m.

Learning outcome:

  • Reliable methods and interpretations for discrimination

Project 2:

Predicting inhibitory concentration of compounds for a
drug target

Timings:

02:00 p.m. – 04:00 p.m.

Learning outcome:

  • Reliable methods and interpretations for prediction

Assessment: Short Project

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