A5043246895- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
- Machine Learning in Bioinformatics
- Robotics and Automated Systems
- Genomics and Phylogenetic Studies
- Simulation and Modeling Applications
- Protein Structure and Dynamics
- Computational Drug Discovery Methods
- RNA and protein synthesis mechanisms
- Algorithms and Data Compression
- Industrial Technology and Control Systems
- Advanced Memory and Neural Computing
- CCD and CMOS Imaging Sensors
- Neural dynamics and brain function
- Cellular Automata and Applications
- Augmented Reality Applications
Guangzhou University
2020-2024
State Key Laboratory of Optoelectronic Materials and Technology
2024
Sun Yat-sen University
2024
Institute of Software
2020
Abstract DNA, or deoxyribonucleic acid, is a powerful molecule that plays fundamental role in storing and processing genetic information of all living organisms. In recent years, scientists have harnessed hybridization powers between DNA molecules to perform various computing tasks storage. Unlike specific hybridization, non-specific provides natural way measure similarity the objects represented by different sequences. We utilize such property build an instance-based learning model which...
As one main form of multimedia data, images play a critical role in various applications. In this paper, representation-based architecture is proposed which takes advantage the outstanding representation and image-generation abilities deep learning (DL). This includes two DL models: an autoencoder U-Net network achieve representation, construction, refinement from noisy reads DNA storage. Simulation experiments demonstrate that it can reconstruct moderate quality scenarios where...
The 3D structure of a protein is closely related to its function, and the similarity analysis between their structures can help reveal function proteins. However, there exist two problems arising from proteins with similar sequence may have different structures, while sequences. In in proteins, it remains difficult for traditional methods using spatial feature distribution geometry or topology features solve these problems. this paper, Tile-CNN network proposed analyze structure. order...
With the complicated nature of chemical drugs, it's uncertain what dangers will happen when drug mixing. Therefore, teachers are focused on teaching experiments in theory or using video to explain experimental principle. Virtual chemistry laboratories have promoted efficiency and innovated way instruction. Students more opportunities for practicing experiments. However, most those two-dimension (2D) three-dimension (3D) virtual platforms design fixed only, which cannot give users intuitive...
Abstract DNA, or deoxyribonucleic acid, is a powerful molecule that plays fundamental role in the storing and processing genetic information of all living organisms. In recent years, scientists over world have devoted to taking advantage its high density, energy efficiency long durability solve challenges technology. Here, we propose build an instance-based learning model by DNA molecules. The handwriting digit images MNIST dataset are encoded sequences using deep encoder. And reversal...