A5053774112- Energy Efficient Wireless Sensor Networks
- Cancer-related gene regulation
- Wireless Networks and Protocols
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- Epigenetics and DNA Methylation
- Gut microbiota and health
- Computational Drug Discovery Methods
- Blind Source Separation Techniques
- Brain Tumor Detection and Classification
- Indoor and Outdoor Localization Technologies
- Sparse and Compressive Sensing Techniques
- Distributed Sensor Networks and Detection Algorithms
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Privacy-Preserving Technologies in Data
- Genetic Associations and Epidemiology
Northwestern Polytechnical University
2024-2025
Guangxi Medical University
2023-2024
Henan University
2024
First Affiliated Hospital of GuangXi Medical University
2023-2024
Abstract As the most abundant messenger RNA (mRNA) modification, N6-methyladenosine (m6A) plays a crucial role in fate, impacting cellular and physiological processes various tumor types. However, our understanding of m6A methylome heterogeneity remains limited. Herein, we collected analyzed methylomes across nine human tissues from 97 sequencing (m6A-seq) (RNA-seq) samples. Our findings demonstrate that exhibits different compared to normal tissues, which contributes diverse clinical...
This material introduces the D-Subspace algorithm derived on basis of centralized [1], which originally addresses parameter estimation problems under a subspace constraint.
Synthetic lethality (SL) is widely used to discover the anti-cancer drug targets. However, identification of SL interactions through wet experiments costly and inefficient. Hence, development efficient high-accuracy computational methods for prediction great significance. In this study, we propose MPASL, a multi-perspective learning knowledge graph attention network enhance synthetic prediction. MPASL utilizes hierarchy propagation explore multi-source neighbor nodes related genes. The...
Federated learning has more flexible data ownership participants, therefore its (sample feature vector or label) is likely to be changed, and it vulnerable poisoning by malicious users, resulting in the final global model not getting expected effect. This paper focuses on this defense problem applies traditional centralized machine pruning optimization method each client of federated learning. Each needs execute before iteration. Pruning algorithm remove abnormal data. The experimental...
Abstract As the most abundant mRNA modification in mRNA, N 6 -methyladenosine (m A) plays a crucial role RNA fate, impacting cellular and physiological processes various tumor types. However, our understanding of function m A methylome heterogeneity remains limited. Herein, we collected analyzed methylomes across nine human tissues from 97 A-seq RNA-seq samples. Our findings demonstrate that exhibits different compared to normal tissues, which contributes diverse clinical outcomes cancer We...