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MANGEM: a web app for Multimodal Analysis of Neuronal Gene expression, Electrophysiology and Morphology.

Robert Hermod OlsonNoah Cohen KalafutDaifeng Wang
Published in: bioRxiv : the preprint server for biology (2023)
The human brain is made up of billions of tiny cells called neurons, each with their own important job. Scientists are now able to study individual neurons in more detail than ever before using new advanced techniques. They can look at different data of individual neurons like how genes are being used (gene expression), how the neuron responds to electrical signals (electrophysiology), and what it looks like (morphology). By combining all of this information, they can start to group similar neurons together and figure out what they do. However, due to the data complexity, this process can be very complicated and hard for researchers without sufficient computational skills. To address this, we developed a web app, MANGEM (Multimodal Analysis of Neuronal Gene Expression, Electrophysiology, and Morphology). It lets scientists upload their data and select emerging machine-learning approaches to find groups of similar neurons. It also makes interactive visualizations to help them explore the characteristics of neuron groups and understand what they do.
Keyphrases
  • gene expression
  • spinal cord
  • machine learning
  • dna methylation
  • big data
  • electronic health record
  • induced apoptosis
  • depressive symptoms
  • deep learning
  • brain injury