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科研 - 付 来义
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多组学分析
智慧医疗
智慧农业
智慧工业
人工智能+单细胞多组学分析
代表研究工作：
Predicting transcription factor binding in single cells through deep learning
Integrated Analysis of Multimodal Single-Cell Data with Structural Similarity
SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration
Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration
待开放...
待开放...
人工智能+智慧医疗
代表研究工作：
UFold: Fast and Accurate RNA Secondary Structure Prediction with Deep Learning
LncDLSM: identification of long non-coding RNAs with deep learning-based sequence model
KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations
人工智能+智慧农业
代表性成果：
findGSEX
平行育种系统
育种大模型XiXiChat上线内测
人工智能+智慧工业
代表性成果：
工地安全生产监测系统
壁画修复框架和平台
产学研转化+结合
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