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Inferring spatially transient gene expression pattern from spatial transcriptomic studies
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.10.20.346544v1?rss=1
Authors: Kueckelhaus, J., Ehr, J. v., Ravi, V. M., Will, P., Joseph, K. M., Beck, J., Hofmann, U. G., Delev, D., Schnell, O., Heiland, H. D.
Abstract:
Spatial transcriptomic is a technology to provide deep transcriptomic profiling by preserving the spatial organization. Here, we present a framework for SPAtial Transcriptomic Analysis (SPATA, https://themilolab.github.io/SPATA), to provide a comprehensive characterization of spatially resolved gene expression, regional adaptation of transcriptional programs and transient dynamics along spatial trajectories.
Copy rights belong to original authors. Visit the link for more info
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By Multimodal LLCLink to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.10.20.346544v1?rss=1
Authors: Kueckelhaus, J., Ehr, J. v., Ravi, V. M., Will, P., Joseph, K. M., Beck, J., Hofmann, U. G., Delev, D., Schnell, O., Heiland, H. D.
Abstract:
Spatial transcriptomic is a technology to provide deep transcriptomic profiling by preserving the spatial organization. Here, we present a framework for SPAtial Transcriptomic Analysis (SPATA, https://themilolab.github.io/SPATA), to provide a comprehensive characterization of spatially resolved gene expression, regional adaptation of transcriptional programs and transient dynamics along spatial trajectories.
Copy rights belong to original authors. Visit the link for more info