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International Workshop Series`
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: 2nd to 6th June 2025
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 program 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 modeling—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
Date: 26 to 30 May 2025 2nd to 6th June 2025
Time: 7 PM to 9 PM as per Indian Standard Time
check the schedule in your time zone at https://savvytime.com/converter
Complete curriculum
NO PRIOR CODING KNOWLEDGE REQUIRED
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 (tidyverse, ggplot2, Bioconductor)
Example Datasets:
- Iris Dataset (Plant species dataset)
- Gene Expression Data (CSV format)
Hands-on Exercises:
- Loading and exploring datasets (head(), summary(), str())
- 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
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)
- Principal Component Analysis (PCA) for dimension reduction
Example Datasets:
- Gene Expression Dataset (CSV)
Data normalization and transformation
- Identifying differentially expressed genes
- Creating volcano plots for visualization
Example Datasets:
- Iris Dataset (Species distribution visualization)
- Microarray Gene Expression Data (Heatmap & PCA)
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
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)
Objective: Understand the basic principles of machine learning, data preprocessing, and preparing data for ML.
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
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 |
price after
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.
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