Skip to content
DraconiticResearch
Search Sources API
194,216 studies31 sourcesUpdated 23 min ago
PreprintAll rights reservedbioRxiv

Spatialsnake: a flexible workflow for spatial transcriptomics analysis across platforms

  1. 1School of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, China

Related

  1. Poly Pipeline: A Polyvalent Spatial Transcriptomics Workflow Validated Across Polyploid and Diploid Organisms
    P. C. Carvalho, T. Millsteed, R. J. Henry
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
  2. MCseg: AI agent-guided workflow search for no-code cell segmentation and transcript attribution in spatial transcriptomics
    C.-R. Chan, N.-W. Chang, C.-Y. Wang +2
    bioRxivPreprintCC BY-NC-NDFull textBioinformatics & computational biologybioRxiv
  3. SpaceBlocks: an expert-supervised workflow for cohort-level spatial transcriptomics analysis
    S. Oterino-Sogo, N. Mechkouri, D. Garcia-Ruano +3
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
  4. Plasticity degeneracy underlies flexible formation and reconfiguration of spatial representations in hippocampal granule cells
    S. Kumari, R. Narayanan
    bioRxivPreprintAll rights reservedFull textNeurosciencebioRxiv
  5. Spatial transcriptomics profiling across tissue boundaries in the developing mouse brain
    Vincent Hammer, Stephan Ossowski
    iSciencePeer-reviewedCC BYFull textNeuroscienceCell PressEurope PMCCrossref
BibTeX
@misc{lin2026spatialsnake,
  title = {{Spatialsnake: a flexible workflow for spatial transcriptomics analysis across platforms}},
  author = {Z. Lin and z. zhang and N. Huang and Z. Lu and S. Xu},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.27.762082},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.27.762082v1},
}
RIS
TY  - UNPB
TI  - Spatialsnake: a flexible workflow for spatial transcriptomics analysis across platforms
AU  - Z. Lin
AU  - z. zhang
AU  - N. Huang
AU  - Z. Lu
AU  - S. Xu
PY  - 2026
DA  - 2026/10/27
PB  - bioRxiv
DO  - 10.64898/2026.10.27.762082
UR  - https://www.biorxiv.org/content/10.64898/2026.10.27.762082v1
ER  -