#single-cell transcriptomics

2 results

cs.SE2026

A Deterministic Binary Fingerprinting Framework with Zero-Trained Feature Extraction for Sparse Count Matrices

Lei Zhao, Fujin Huang, Ling Kang +1

The paper presents MMTB, a deterministic, label‑free binary fingerprinting method that converts sparse count matrices (e.g., single‑cell RNA‑seq) into fixed‑width binary codes usin…

#binary fingerprinting#sparse count matrices#unsupervised representation#single-cell transcriptomics

cs.LG2026

CoDiffGRN: Rethinking Gene Regulatory Network Inference via the BEELINE-KGC Benchmark and Co-evolutionary Discrete Diffusion

Jiaze Song, Runhao Zhao, Minghao Xu +2

The paper introduces a new inductive benchmark (BEELINE‑KGC) and a co‑evolutionary discrete diffusion framework (CoDiffGRN) for inferring gene regulatory networks from single‑cell…

#gene regulatory network inference#single-cell transcriptomics#inductive learning#graph completion