2026-10-09T10:55:55Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34073731 2026-10-05T17:52:08Z category_12 category_13 category_14 category_46 category_734 category_931 category_61 category_64 category_128 portal_5 item_type_3 month_year_10_2026

<p>Wasserstein distance for varying leakage percentages across datasets.</p> Ritwik Ganguly (25317277) Sana Aafrine (25317280) Sk Md Mosaddek Hossain (4709248) Sumanta Ray (3505517) Cell Biology Genetics Molecular Biology Immunology Biological Sciences not elsewhere classified Information Systems not elsewhere classified Developmental Biology Cancer Hematology reduces mode dropping fidelity synthetic cells enhance downstream analyses raph -< b div >< p neighbour cell graph cell rna sequencing graph attention network coupling graph attention attention cell embeddings ra </ b ge </ b g </ b cell aware single across real scrna rare cell types real cells cell rna downstream single aware single </ b k </ respecting cell cell structure cell data cell clustering garage </ type proportions samples generated prioritize nodes prior noise often compounded likely represent generator ’ existing simulators data manifold corresponding software clustering compared class imbalance central challenge attentive gan art baselines adversarial generation >- nearest >&# 8216 <p>Wasserstein distance for varying leakage percentages across datasets.</p> 2026-10-05T17:51:54Z Dataset Dataset 10.1371/journal.pcbi.1014601.t004 https://figshare.com/articles/dataset/_p_Wasserstein_distance_for_varying_leakage_percentages_across_datasets_p_/34073731 CC BY 4.0