FROM BULK & scRNA-SEQ TO SPATIAL TRANSCRIPTOMICS for FIGHTING CANCER 2026

• Lecture Slides Drive (pptx + pdf): Google Drive

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MODULE I: Computational Statistical Preparation

Lecture 01: Course Introduction [Dr. Loi – 20/09/2026]

• Study notes: L01_Study_Notes.
• Lecture slides:
  • Lecture 00:
    • PDF.
    • PPTX.
  • Lecture 01:
    • PDF.
    • PPTX
• Youtube recording.

Lecture 02: Linux Environment & File System Navigation [Hoang – 23/09/2026]

• Quizzes and homework: Colab Notebook.
• Lecture slides.
• Youtube recording.
• Study notes: lecture-02_study-notes.

Lecture 04: Text Stream Processing & Pipeline Automation [Hoang – 30/09/2026]

• Quizzes and homework: Colab Notebook.
• Lecture slides.
• Youtube recording.
• Study notes: To be added.
• The GTF file used in the lecture's opening problem: gencode_subset.gtf.

Lecture 05: R Programming Fundamentals – Core Syntax, Data Types & Computational Logic [Phong – 07/10/2026]

• Quizzes and homework: Colab Notebook.
• Lecture slides.
• Youtube recording:
  • Part 1.
  • Part 2.
• Study notes: lecture-05_study-notes.

Lecture 06: R Data Manipulation & Management – Data Structures, File I/O & Metadata (Part 1) [Phong – 14/10/2026]

• Quizzes and homework: tbd.
• Lecture slides.
• Youtube recording:
  • Part 1.
• Study notes: lecture-06_study-notes.

MODULE II: Introduction to Bulk RNA-seq

Lecture 03: Bulk RNA-seq Foundations & Experimental Design [Dr. Loi – 27/09/2026]

• Study notes: L03_Study_Notes.
• Lecture slides:
  • Lecture 03:
    • PDF.
    • PPTX.
• Youtube recording.

Lecture 03: Bulk RNA-seq Foundations & Experimental Design (cont.) [Dr. Loi – 04/10/2026]

• Study notes: L03_Study_Notes.
• Lecture slides:
  • Lecture 03 (cont.):
    • PDF.
    • PPTX.
• Youtube recording.

Lecture 03: Bulk RNA-seq Foundations & Experimental Design (Part 3) [Dr. Loi – 11/10/2026]

• Study notes: L03_Study_Notes.
• Lecture slides:
  • Lecture 03 (Part 3):
    • PDF.
    • PPTX.
• Youtube recording.

MODULE III: Introduction to Single-cell RNA-seq

MODULE IV: Intronduction to Spatial Transcriptomics

MODULE V: Fighting Cancer with Transcriptomics