5 Day International Virtual Workshop-FDP
Machine Learning in Bioscience Research
using
Programming in R |22-26 July 2026
Quaxon Bio & IT Solutions, India is going to conduct it’s 79th international virtual workshop-Faculty Development Programme on Machine Learning in Bioscience Research using Programming in R
Visit website post
https://qbiits.org/ai-ml-workshop-for-bioscience-r-program-july-26/
Date: 22-26 July 2026
Platform: Virtual Mode with Recording access
Time: 7 PM to 9 PM Indian Standard Time
Check the schedule in your time
zone at below link
https://savvytime.com/converter
Connect us for quick registration https://wa.me/919692521875
Eligibility
Students, Research scholars, Faculties from all bioscience disciplines such as Botany, Botany, zoology, microbiology, Biotechnology, Bioinformatics, clinical research fellows and other allied fields having basic computer operations skill are eligibility to participate
*E-Certificate and Session recordings/post event doubt clearing will be provided
ABOUT THE THEME TOPIC
R programming for Data Analysis and
Machine Learning in Bioscience Research
R is a powerful programming
language widely used for statistical computing, data analysis, and
visualization. Its open-source nature and vast collection of packages make it
an excellent tool for analyzing complex biological datasets such as genomic,
proteomic, and clinical data.
R also supports machine learning
techniques like classification, clustering, and predictive modeling, helping
researchers discover patterns and generate meaningful insights from data.
Learning R has has become an essential skill for bioscience researchers in
today’s data-driven research environment.
About this Workshop
This
5-day hands-on workshop design carefully for both beginners as well as
intermediate experts. The participants will learn R programming from the
beginning followed by Exploratory Data Analysis, essential statistics for
ML. Participants will learn how to apply
important machine learning techniques such as classification, clustering, and
predictive modelling using real biological datasets.
Through guided exercises, attendees will explore how R can be used for
statistical analysis, data visualization, and building predictive models from various
Biological cases. The sessions will be purely interactive, with personalized
guidance to help participants clearly understand each concept and its practical
application.
By the end of the workshop, participants will gain the essential skills to
apply machine learning methods using R in their own research.
Complete Workshop Curriculum
Day 1 – Introduction to R and R Studio
- Introduction to Machine Learning in Bioscience
- Applications areas
- Introduction to R environment
- RStudio interface
- Installing and loading packages
- Basic R programming
- Variables and data types
- Vectors, matrices, data frames
- Importing datasets
- CSV / Excel data
- From Internet
- Basic data exploration
- Basic visualization
- Using various Plots
Dataset Example: Iris / Diabetes dataset
Day 2 – Data preprocessing and essential
statistics for Machine Learning
Goal: Data pre-processing and essential statistics for ML.
Essential
statistics for ML
- Mean, median, standard deviation, Variance, Correlation
analysis, Data distribution, Outlier detection
Data
pre-processing
- Handling missing values(various methods)
- Data normalization / scaling
- Feature selection and its importance
Data visualization
and interpretation
- Correlation heatmap
- Pair plots
- Boxplots for group comparison
Introduction to ML
workflow
- Training vs testing dataset
- Cross-validation concept
Day 3 – Machine Learning Workflow
in R
Goal: Understanding ML pipeline before applying models.
- Introduction to caret package
- Preparing dataset for ML
- Splitting data into training and testing sets
- Feature engineering
- Model training concept
- Model prediction
- Performance evaluation concepts
- Evaluation metrics introduction
- Accuracy, Precision, Recall, F1 Score and Confusion
Matrix
Day 4 – Supervised Machine
Learning
Goal: Predict on known labelled dataset
Classification
algorithms
- Decision Tree
- Random Forest
- k-Nearest Neighbors
(kNN)
Hands on session
- Disease prediction dataset
- Gene expression classification
Model evaluation
- Confusion Matrix
- Accuracy calculation
Model comparison
Day 5 – Unsupervised Machine
Learning
Goal: Discover patterns in biological data. Train from unlabelled data
Clustering
techniques
- k-means clustering
- Hierarchical clustering
Dimensionality
reduction
- Principal Component Analysis (PCA)
Anomaly Detection
·
Identifies
unusual or abnormal
patterns in data.
Biological
interpretation
- Species clustering
- Gene expression clustering
Case Study
Following are the case studies are included in this
workshop(Including some Simulated dataset but not limited to below)
o
Iris Flower Dataset
o
Wisconsin Breast Cancer Dataset
o
Pima Indians Diabetes Dataset
o
NCI60 Cancer Cell Line Gene Expression Dataset
o
Golub Leukemia Gene Expression Dataset
o
Parkinson’s Disease Dataset
o
Heart Disease (Cleveland) Dataset
o
TCGA Cancer Genomic Dataset
o
Statistical
analysis of Organe tree growth data
o
The
CO₂ uptake rate in grass plants under various conditions.
Steps to Participate
Step-1: Pay the participation fee as per your category
Participation fee category wise
|
Category |
For Indians |
For International Participants |
|
Students |
Rs. 1000/- |
$25 |
|
Research Scholar/PhD
Scholar |
Rs. 1100/- |
$30 |
|
Faculty/PDF/ Other Job
holders |
Rs.1200/- |
$35 |
Payment Link for Indian Participants
Payment Link for International Participants
https://www.paypal.com/paypalme/Workshop334
* Must pay as per your category
*Valid receipt will be provided for reimbursement
*Rebate available for low economic countries. Kindly contact below number to apply for
Call/WhatsApp: +91-9692521875 for any query or for quick registration. https://wa.me/919692521875
Step-2: Fill up the registration form in this link below(After Payment)
Click
here for registration after payment
**Must visit main post at
https://qbiits.org/ai-ml-workshop-for-bioscience-r-program-july-26/
the
other details term and conditions.
About
us
Quaxon Bio & IT Solutions is a fastest growing EduTech start-up established and registered to the Ministry of Micro, Small and Medium Enterprises, Government of India. Our mission is to act as an industry-academic interface, to excel in knowledge transformation and producing a highly skilled workforce equipped with next-generation technology. We are delivering high demand skills via virtual workshop on bioinformatics and data science with international participants, facilitating the exchange of cutting-edge research and ideas around the world.
QUAXON BIO & BIO IT SOLUTION
Contact us
Registered to https://wa.me/919692521875
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