Technological advances in sequencing have fueled the “omics revolution,” making big data a staple of biological research. However, many researchers feel ill-equipped to wrangle and analyze these ...
Researchers developed two computational tools to decode how cells communicate in tissues. sCCIgen creates realistic virtual ...
This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.
Spatial transcriptomics offers a revolutionary approach to understanding the tumor microenvironment (TME) in solid tumors by preserving the spatial context of gene expression, which is crucial for ...
Through multiomics—combined genomics, transcriptomics, proteomics, digital pathology, and other technologies yet to fully unfold—we can now obtain a complete dynamic vision of cancer,” argue the ...
Spatial transcriptomics data from osteosarcoma cells. Left) A spatial map of the transcriptome segmented into individual cells using machine learning, with each dot representing a RNA transcript and ...
“Hey model, if I prompt you with the marker genes for a cell type, can you complete the transcription factors that you believe would be highly expressed with expression of these genes?” posed ...
MOUNTAIN VIEW, Calif. & PALO ALTO, Calif.--(BUSINESS WIRE)--DNAnexus, Inc., the provider of the Precision Health Data Cloud, and Curio Bioscience today announced a collaboration to streamline and ...
Immune low-response states significantly impact the effectiveness of immunotherapy in cancer treatment. These states ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback