Researchers develop new tool to aid processing of spatial transcriptomic data

The network architecture of dependency-aware deep generative models. Credit: Nature Methods (2024). DOI: 10.1038/s41592-024-02257-y Researchers from Children’s Hospital of Philadelphia (CHOP) have developed a new tool to help analyze data collected from spatial transcriptomics technologies (SRTs), which simultaneously profile gene expression and spatial location information in tissues to pinpoint which cells in which layers of tissue may drive various diseases. The findings, published in the journal Nature Methods, enable researchers to better identify and understand new therapeutic targets for optimized treatment strategies. SRTs are powerful tools with incredible versatility. Some Read More

Related posts:

  1. Scientists develop visual tool to help people group foods based on their levels of processing
  2. Researchers develop screening tool to identify exposure to violence and resulting trauma symptoms among youth
  3. Researchers develop painless, wearable patch for continuous smartphone monitoring of critical health data
  4. Engineers develop face screening tool that detects stroke in seconds
  5. What is language for? Researchers make the case that it’s a tool for communication, not for thought
  6. Researchers report encouraging Phase 1 data for glioblastoma treatment
  7. Researchers develop an alternative to pacemakers in the form of a hydrogel
  8. Researchers develop GPT-4-based simulator for biomedical research

Leave a Reply

Your email address will not be published. Required fields are marked *