5
Day International Virtual Workshop
on
Data Analysis and Machine Learning in Bioscience Research using Programming in R
Quaxon Bio & IT Solutions, India is going to conduct it’s 55th international virtual workshop on Data Analysis and Machine Learning in Bioscience Research using Programming in R
Date: 26 to 30 May 2025
Time: 7 PM to 9 PM IST Platform : Google Meet
Last Date of Registration: 24 May 2025
Click to connect with us to book your seat 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/26-may-25-data-analysis-ml-in-bioscience-uisng-r/
ABOUT THE THEME TOPIC
R programming for Data Analysis and Machine Learning in Bioscience
Research
R program comes with unparalleled capabilities for statistical computing, visualization, and reproducible research. Its open-source nature and extensive library support make it a versatile tool for handling complex biological datasets, such as genomic sequences, proteomics data, and clinical trials. Beyond traditional data analysis, R provides powerful frameworks for implementing machine learning techniques—such as classification, clustering, and predictive modeling—allowing researchers to uncover patterns, generate insights, and make accurate data-driven predictions. Whether you are conducting exploratory data analysis, building machine learning models, or visualizing intricate trends in your data, R offers a robust and flexible platform. Learning R is not just a technical skill but an essential competency for bioscience researchers in today’s data-driven world, empowering them to make informed decisions and contribute to cutting-edge research.
About this Workshop
This 5-day hands-on workshop offers an immersive introduction to data analysis and machine learning tailored for bioscience research. With R programming at its core, participants will gain practical experience in applying key machine learning techniques—including classification, clustering, and predictive modelling on real-world biological datasets. From genomic and proteomic data to clinical and experimental results, the workshop provides step-by-step guidance in using R’s powerful libraries for statistical analysis, visualization, and model building. Each session is designed to provide one-to-one mentorship and personalized support, ensuring a deep understanding of concepts and their applications. Whether you're exploring patterns in biological data or developing machine learning models, this workshop equips you with the skills to harness the full potential of R in bioscience research.
Schedule and important Dates
Event
Date: 26 to 30 May 2025
Last
Date of Registration: 24 May 2025
Time:
7 PM to 9 PM as per Indian Standard Time
Check the schedule in
your time zone at https://savvytime.com/converter
Workshop curriculum
Day-1: Overview
of R and RStudio
Data types and structures in R (Vectors,
Lists, Matrices, Data Frames)
Operators
Importing and exporting biological
datasets from local disc or internet Exploring datasets
Handling missing data
Installing &
loading packages
Hands-on Exercises:
- Loading and exploring datasets
- Data filtering & subsetting (dplyr functions)
- Handling missing values and outliers
Day-2 Data Manipulation
Using
dplyr for filtering, selecting,
and mutating data
Merging and reshaping datasets (tidyr
package)
Working with categorical variables and factors
String manipulation using stringr
Data cleaning and preprocessing (tidyverse, janitor)
Data Visualization and Exploratory Data Analysis (EDA)
- Data visualization using ggplot2
- Boxplots, scatter plots, violin plots
- Heatmaps for gene expression data
- Customizing
plots (Themes, Labels, Colors)
Data normalization
and transformation
- Identifying differentially expressed genes
- Creating volcano plots for visualization
Hands-on Exercises:
- Creating scatter plots for different species in the
Iris dataset
- Generating a heatmap of gene expression levels
- Performing PCA and visualizing clusters
Day-3 Statistical Analysis and hypothesis testing
Topics Covered:
- Descriptive statistics (Mean, Median,
Variance, Standard Deviation)
- Hypothesis testing (t-test, ANOVA, chi-square test)
- Correlation and regression analysis
- Non-parametric tests (Wilcoxon, Kruskal-Wallis)
- Biological significance vs statistical significance
Example Datasets:
- Iris Dataset (ANOVA for species differences)
- Gene Expression Data (t-test for differential expression)
Hands-on
Exercises:
- Running a t-test to compare gene expression between
conditions
- Performing ANOVA to check species variation
- Pearson & Spearman correlation on biological
variables
- Plotting of statistical analysis result using
various plot
Day-4 Machine Learning
Basics
Fundamentals of
Machine Learning with R (Using caret)
Introduction to Machine Learning
Concepts
- Supervised vs Unsupervised Learning
- Types of ML algorithms
- Real-life applications in biosciences (e.g., disease
prediction, gene expression classification)
Getting Started
with the caret Package
- Overview of caret (Classification and Regression
Training)
- Loading caret and required libraries
- Structure of a typical ML pipeline using caret
Data Preprocessing
in ML
- Importing biological datasets (Iris, Cancer
biomarker data, gene expression matrix)
- Handling missing values
- Feature scaling and normalization
- Encoding categorical variables
Hands-on Example
- Dataset: Iris or Diabetes Dataset
- Task: Prepare data for classification (Step-by-step)
- Visual exploration of features (ggplot2 / base R)
Day-5: ML
Modeling, Evaluation & Bioscience Applications
Objective: Apply machine learning models to
classify and cluster biological data, and evaluate model performance.
Classification
Models
- Decision
Tree (rpart)
- Random
Forest (randomForest / caret)
- How
to train, test, and interpret classification models
Clustering
Methods
- K-Means
Clustering
- Hierarchical
Clustering
- Applying
clustering to gene expression data(or data prepared on day4)
Model
Evaluation Metrics
- Accuracy,
Confusion Matrix
- ROC
Curve and AUC (caret + pROC)
- Applying
Cross-validation to improve prediction accuracy(iris dataset using rf
method)
Case Studies
used in this workshop
Exploratory Data Analysis, Statistical
Analysis/inference and Machine Learning will be implemented on following
datasets(5 or more)
- Group
cancer cell lines based on gene expression data (NCI60)
- Species Prediction
based on sepal, petal measurement
- Predict Blood-Brain barrier of drug like
compound by molecular descriptors
- Classification
Leukemia Type: All or AML based on gene expression (Golub Data Set)
- Identification
of bio marker gene for cancer baed on gene expression data
- Classify
vegetable oil samples (e.g., pumpkin, sunflower) from fatty acid profiles,
(Brodnjak-Voncina et al. (2005))
- Statistical
analysis of Orange tree growth data
- 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. 1200/- |
$30 |
|
Faculty/PDF/ Other Job holders |
Rs.1400/- |
$35 |
Call/WhatsApp: +91-9692521875 for any kind of Information
Payment Link for Indians: https://rzp.io/rzp/FZipj4P
Payment
link for International Participants: https://www.paypal.com/paypalme/Workshop334
Step-2: Fill up the registration form in this link below(After Payment)
https://docs.google.com/forms/d/1IZwwzVvG5ZDySX7rsCOzhbGAol9tQEBtgSbPGCiYEMQ/edit
**Must visit main post
https://qbiits.org/26-may-25-data-analysis-ml-in-bioscience-uisng-r/
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 globe.
Contact us for any queries https://wa.me/919692521875
WhatsApp/Call +91-9692521875 or
write to us support@qbiits.org
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