Add FlashS method#3
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Hi maintainers! Thank you for building and maintaining such an excellent benchmarking platform — it has been incredibly valuable for the spatial transcriptomics community. We really appreciate all the effort that goes into keeping the leaderboard running.
We would like to contribute FlashS, a new method for spatially variable gene detection, and would be grateful if you could consider adding it to the benchmark.
Method Overview
FlashS (Frequency-domain Linearized Adaptive Spatial Hypothesis testing via Sketching) uses random Fourier feature projections of spatial coordinates with multi-scale Gaussian kernels. It employs a three-part test (binary, rank, direct) combined via Cauchy combination, achieving O(nnz × D) time and O(D) memory per gene.
Package: github.com/cafferychen777/FlashS (MIT license, pip-installable)
Checklist
feature_id+pred_spatial_var_scoreinvar,dataset_id+method_idinunslowtime, lowmem, lowcpu)Please let us know if anything needs to be adjusted. Thank you for your time!