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AI in Bioscience
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Quaxon Bio & IT Solutions, India is going to conduct it’s 74th international virtual workshop on Machine Learning in Bioscience Research using Programming in R
Date: 18th to 22nd March 2026
Time: 7 PM to 9 PM IST Platform : Google Meet
Eligibility:
Students, Research scholars, Faculties from all bioscience disciplines (Botany, zoology, microbiology, Biotechnology Bioinformatics, clinical research fellows and other allied fields having basic computer operations skill are eligibility to participate
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 widely used for machine learning techniques like classification, clustering, and predictive modeling, helping researchers discover patterns and generate meaningful insights from data. Learning R has therefore 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.
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Schedule
Date: 20-24 April 2026
Time: 7 PM to 9 PM Indian Standard Time
check the schedule in your time zone at below link
https://savvytime.com/converter
Complete curriculum
Day 1 – Introduction to R and R Studio
Goal: Make beginners comfortable with R and biological datasets.
- Introduction to AI/Machine Learning in Bioscience
- Applications in Bioscience Research/
- Some key Case studies
- 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
- Histograms
- Boxplots
- Scatter plots
Loading and exploring few sample Biological dataset
Day 2 – Data prepressing /Cleaning and essential statistics for Machine Learning
Goal: Data prepressing 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, using various plot to visualize the data
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
- Confusion Matrix
Day 4 – Supervised Machine Learning
Goal: Predict on known level dataset
Classification algorithms
- Decision Tree
- Random Forest
- k-Nearest Neighbors (kNN)
- Logistic Regression
Practical examples
- 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 applications
- Species clustering
- Gene expression clustering
- cancer type classification
Model evaluation
- Silhouette score
- Cluster validation
- Visualization of clusters
Case Study
Following are the case study included in this workshop(Including some Simulated dataset) (not limited to )
- Iris Flower Dataset: Species Prediction based on sepal, petal measurement
- Wisconsin Breast Cancer Dataset
- Pima Indians Diabetes Dataset
- NCI60 Cancer Cell Line Gene Expression Dataset
- Golub Leukemia Gene Expression Dataset
- Parkinson’s Disease Dataset
- Heart Disease (Cleveland) Dataset
- TCGA Cancer Genomic Dataset
- dentification of bio marker gene for cancer baed on gene expression data
- Predict Blood-Brain barrier of drug like compound by molecular descript
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/- | $24 |
| Research Scholar/PhD Scholar | Rs. 1100/- | $29 |
| Faculty/PDF/ Other Job holders | Rs.1200/- | $34 |
Call/WhatsApp: +91-9692521875 for any kind of Information
Payment Link for Indians
Payment link for International Participants
Step-2: Fill up the registration form in this link below(After Payment)
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 globe.
Contact us for any queries
WhatsApp/Call +919692521875 or write to us support@qbiits.org
General Term and Conditions
- You need to provide your complete and genuine details in the Google registration form
- In this Online Workshop, there will be a LIVE trainer who will solve queries along with training.
- Participants should have windows system for smooth learning as the demonstration will be given on windows system only
- Make sure you register and make payment under the right category to avoid cancellation of registration.
- You must need to upload your professional ID which can be your Student ID Card or Research Institute ID Card or Company ID Card.
- The certificate will be issued as per the details which you will provide in the registration form while registering before payment.
- You must provide your WhatsApp number to join in the meeting group to get timely update. The link to join WhatsApp group will be send to your WhatsApp number and registered email id. It’s your responsibility to join in time.
- The registration is NON-REFUNDABLE but TRANSFERABLE upon request from participant with proper reason.
- We may rescheduled the event in case of any unseen problem which is beyond our control, in this case we will give you detail update via email or by phone contact.
- Quaxon Bio & IT Solutions, India reserves full right of entry of anyone into the event., If we do not wish to give this workshop to any participant then we will refund their paid amount by cancelling his/her registration from our end.