Characterizing Cell Types

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Cell types in the brain

Introduces neuronal gene expression data and characterizes neurons based on morphology and connectivity.

Comparing nuclear and whole cell transcriptomes

Explores challenges in isolating intact cells, differential expression between nuclear and whole cell transcriptomes, and identifying transcriptomic cell types.

Transcriptonomics in Mouse Virtual Cortex

Delves into using transcriptonomics to study the mouse virtual cortex and classifying cortical neurons.

Bulk Transcriptome Analysis: RNA-seq Workflow and Gene Expression Analysis

Explains transcriptomics, RNA-seq workflow, and gene expression analysis for disease biomarkers.

Single-cell and Spatially Resolved RNA-seq

Explores single-cell RNA-seq, tissue dissociation, capture methods, and differential gene expression analysis.

Methods to Identify Transcriptomic Types

Covers methods to identify transcriptomic types and classify bipolar cells using computational techniques and molecular profiling.

Open-World Learning for Biomedical Data

Explores open-world learning for biomedical data, focusing on leveraging small datasets and discovering novel phenomena.

Organoids: Model Systems in Tissue Engineering

Explores the development and applications of organoids in tissue engineering and disease modeling using miniature in vitro constructs.

Neuron Classification: Types and Challenges

Explores neuron classification, highlighting the importance of understanding brain complexity and the challenges in defining cell types.

Neurosciences I: Molecular Neuroscience and Neurodegeneration

Covers molecular neuroscience, neurodegeneration, cell types, neuron structure, and history of neuroscience breakthroughs.