most citedDeep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.GN2024★ 3 cited

Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective

Shuang Ge, Shuqing Sun, Huan Xu +2

The development of single-cell and spatial transcriptomics has revolutionized our capacity to investigate cellular properties, functions, and interactions in both cellular and spat…