5 Day International Virtual Workshop on
Machine Learning in Bioscience Research using Programming in R
18-22 March 2026
Visit website post
https://qbiits.org/machine-learning-bioscience-using-r-march-26/
Date: 18th-22nd
March 2026
Time:
7 PM to 9 PM IST Platform : Google Meet
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 (Botany, zoology, microbiology, Biotechnology Bioinformatics, clinical research fellows and other allied fields having basic computer operations skill are eligibility to participate
Visit Website post:
https://qbiits.org/machine-learning-bioscience-using-r-march-26/
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 beginers 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
in genomics, medicine, ecology
- 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
- summary()
- str()
- head()
- Basic
visualization
- Histograms
- Boxplots
- Scatter
plots
Dataset
Example: Iris / Diabetes dataset
Day 2 – Essential R Skills 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
- 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
- ROC curve
- AUC
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
Model evaluation
- Silhouette
score
- Cluster
validation
- Visualization
of clusters
Case Study
Following are
the case studies are included in this workshop(Including some Simulated dataset
but not limited to belows)
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/- |
$24 |
|
Research Scholar/PhD Scholar |
Rs. 1100/- |
$29 |
|
Faculty/PDF/ Other Job holders |
Rs.1200/- |
$34 |
|
Payment Link |
*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 click to connect us https://wa.me/919692521875
Step-2: Fill up the registration form in this link below(After Payment)
https://docs.google.com/forms/d/1C7tuHOEfyTrmtgHDjn_kaaf5TRUIBVSHhRLuBJ2BWXE/edit
**Must visit main post at Visit website post
https://qbiits.org/machine-learning-bioscience-using-r-march-26/ to know 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 for any queries
WhatsApp/Call +91-9692521875 or write to us support@qbiits.org or quaxonbiits@gmail.com
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