Training AI/ML & systems biology
Building Machine Learning Models for Normal vs. Cancer Classification
A two-week live program on building machine learning models that classify normal and cancer samples from RNA-seq gene expression data, from count matrix to prediction on new data.
- 2 weeksMon–Fri, live online
- 1 houra day, evening IST
- 7 modulesR and Python
Next cohort
Dates to be announced
- Duration2 weeks
- ScheduleMon–Fri · 1 hour a day
- ModeLive online (Google Meet)
Curriculum
Turn transcriptomics data into predictive cancer models
Seven modules working with real datasets throughout.
R / RStudioDESeq2GEO / NCBIPythonJupyterPandasNumPyscikit-learnXGBoostOptunaMatplotlibJoblib
01
RNA-seq and transcriptomic data
Introduction to RNA-seq and transcriptomic datasets. Tool: GEO / NCBI.
02
From count matrix to DEG analysis
Preprocess counts and find differentially expressed genes. Tools: R, DESeq2.
03
Building the ML dataset
Select features and construct a dataset for modeling. Tools: Python, Pandas, NumPy.
04
Model development
Train machine learning classifiers. Tools: scikit-learn, XGBoost.
05
Model optimization
Tune model hyperparameters. Tool: Optuna.
06
Model evaluation and interpretation
Evaluate performance and interpret results. Tool: Matplotlib.
07
Prediction on new data
Save models and classify new samples. Tool: Joblib.
Who should apply
Eligibility
- Students in B.Sc., B.Tech., M.Sc., M.Tech., B.Pharm, M.Pharm or PhD programs in life sciences, pharmacy or computer science
- Postdocs and research scholars
- Teaching and industry professionals
What’s included
Program benefits
- Live, instructor-led sessions
- Recordings of every session
- Workshop materials
- Certificate
- Online technical support after the workshop
Fees
Course fees
One fee covers all live sessions, recordings, materials and the certificate. Payment and registration open when the next cohort is announced.
| Category | India (INR) | International (USD) |
|---|---|---|
| Students (up to Master’s) | ₹2,250 | USD 40 |
| PhD scholars | ₹2,500 | USD 45 |
| Postdocs / research scholars | ₹2,750 | USD 50 |
| Staff / faculty | ₹3,000 | USD 55 |
| Industry professionals | ₹3,500 | USD 60 |
Teaching team
Course instructors
AADr. Ajitha AntonyBioinformatics Trainer, CBIRT
TADr. Tamanna AnwarFounder, CBIRT
Format
How the course runs
- DatesTo be announced
- SessionsMon–Fri, 1 hour a day (last cohort: 6:00–7:00 PM IST)
- PlatformGoogle Meet (live)
- Missed a session?Recordings provided
FAQ
Course questions
When does the next cohort start?
Dates are not announced yet. Click Notify me or message us on WhatsApp, and we’ll tell you when enrollment opens.
Do I need prior experience?
A basic understanding of bioinformatics and transcriptomics is expected.
What will I need on my computer?
A computer running Windows 10/11, macOS or Linux, with at least 8 GB RAM (16 GB recommended), an Intel Core i5 / AMD Ryzen 5 processor or better, and a reliable internet connection.
What if I miss a live session?
Every session is recorded, and you get access to the recordings.
Will I get a certificate?
Yes. The certificate is awarded on completing the course assignment.
Interested in ML Model Building for Cancer Classification?
Get notified when the next cohort opens, or ask us about prerequisites and fees.