Additional file 1 of Gene panel selection for targeted spatial transcriptomics

Additional file 1: Figure S1. Schematic of the Bayesian model for platform effect estimation. Figure S2. Bayesian model captures platform effect between scRNA-seq and targeted spatial transcriptomics technologies. Figure S3. Impact of platform effect on the spatial transcriptomics measurement simulation and cell type classification. Figure S4. Impact of multiplicative platform effect on cell type classification and average cell depth of the simulated spatial transcriptomics data for the Codeluppi dataset. Figure S5. Comparison between gpsFISH and other gene selection methods on the Zhang and Codeluppi dataset. Figure S6. Comparison between gpsFISH and other gene selection methods using random forest as classifier. Figure S7. High redundancy across optimizations using gpsFISH. Figure S8. Weighted gene panel selection based on probe count per gene. Figure S9. Gene panel selection with ligand activity as gene weight. Figure S10. Gene panel selection with cell type hierarchy on the Tietscher dataset. Figure S11. Accuracy of optimized gene panels using flat vs. hierarchical gene selection. Supplementary texts

Response Time to a Vibrotactile Stimulus Presented on the Foot at Rest and During Walking on Different Surfaces

This study investigates the simple reaction time (SRT) and response time (RT) to a vibrotactile stimulus presented on two body locations at the lower extremity of the foot on different types of surface during walking. We determined RTs while walking on Concrete, Foam, Sand, and gravel surface. Also, for RT, we evaluated two vibrotactile stimulus (VS) locations on the lower extremity: the ankle (AL) and under the foot plantar (FP). A total of 21 young adult participants (n = 21), aged mean 24 ± 2.9 years, took part in a two-session experiment with two main conditions (at rest and while walking on four types of surface). The control session included 2016 repeated measures, with one-way and two-way ANOVA analyses. The findings have consistently revealed slowness of RT to VS, in particular on sand and gravel surface. In addition, we found that body location has a significant effect on RT in certain surfaces. These results showed that RTs increased with environment changes during the performance of dual tasks