AlphaApta: Single-cell SELEX Dataset and Pretrained Models

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Xin Yang
DOI: 10.5281/zenodo.18242287
Cited by: 0

Abstract

This repository contains the single-cell SELEX dataset and pretrained model weights for AlphaApta, a foundation model for cell-specific aptamer discovery. The dataset includes multi-modal single-cell data (RNA + Protein expression) from 6 gastric cancer cell lines, along with ~12 million aptamer sequences from SELEX experiments.

Fields of Study & Subjects

Advanced biosensing and bioanalysis techniques RNA and protein synthesis mechanisms Single-cell and spatial transcriptomics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 January 2026
Document type
Dataset