Sökresultat - "CircRNA"

A Review on Circular RNA Translation and Its Implications in Disease

Wei, Huanhuan Y.^{Aff5, Aff6}, Fan, Xiao-Juan^{Aff5, Aff6}, Mao, Miao-Wei^{Aff6, Aff7}

Lai, Xin^Aff2, Gupta, Shailendra^Aff3, Vera Gonzalez, Julio^Aff4, Walker, John M.^Aff1

Native Circular RNA Pulldown Method to Simultaneously Profile RNA and Protein Interactions

Gabryelska, Marta M.^Aff4, Webb, Stuart T.^Aff4, Lin, He^Aff4, Gantley, Laura^Aff4, Kirk, Kirsty^Aff4, Liu, Ryan^Aff4, Stringer, Brett W.^Aff4, Conn, Vanessa M.^Aff4, Conn, Simon J.^Aff4

Dieterich, Christoph^Aff2, Baudet, Marie-Laure^Aff3, Walker, John M.^Aff1

Design and Synthesis of Circular RNA Expression Vectors

Frei, Julia^{Aff3, Aff4}, Jarzebska, Natalia T.^{Aff3, Aff5}, Mellett, Mark^{Aff3, Aff4}, Kündig, Thomas M.^{Aff3, Aff4}, Pascolo, Steve^{Aff3, Aff4}, Reichmuth, Andreas M.^{Aff3, Aff4}

Kramps, Thomas^Aff2, Walker, John M.^Aff1

Adaptive Meta-Path Selection Based Heterogeneous Spatial Enhancement for circRNA-Disease Associations Prediction

Ma, Z., Cao, G., Cao, W.

Single-Cell Analysis of circRNA Using ddPCR

Peng, Jiayi^Aff4, Li, Feng^Aff4, Xu, Xiangdong^Aff4, Hu, Shen^{Aff4, Aff5, Aff6}

Li, Paul C.H.^Aff2, Wu, Angela Ruohao^Aff3, Walker, John M.^Aff1

ICDNSGA: Identification of Potential circRNA-Disease Associations Based on Improved Non-Dominated Sorting Genetic Algorithm

Wang, Y., Lu, P.

Predicting circRNA-Drug Resistance Associations Based on a Multimodal Graph Representation Learning Framework

Liu, Z., Dai, Q., Yu, X., Duan, X., Wang, C.

CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization

Zeng, M., Lu, J., Li, Y., Lu, C., Kan, S., Guo, F., Li, M.

RPMVCDA: Random Perturbation and Multi-View Graph Convolutional Networks for CircRNA-Disease Association Prediction

He, X., Shang, J., Ge, D., Li, F., Liu, J.

LSNSCDA: Unraveling CircRNA–Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples

Fan, Ziyu, Zhang, Yuanpeng, Li, Yahan, Zhong, Zeyu, Deng, Lei

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

IEARACDA: Predicting circRNA-disease associations based on information enhancement and arctangent rank approximation

Pang, Shanchen, Song, Zheqi, Liu, Tiyao, Wu, Wenhao, Zhang, Yuanyuan, Wang, Shudong

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Predicting CircRNA-Disease Associations Through Non-negative Matrix Factorization and Adversarially Regularized Variational Graph Autoencoder

Lu, Mianshuo, Wang, Lei, Sun, Jinzhu, Li, Yang, Wei, Mengmeng, Wei, Yu, Liu, Changchun, Li, Zhengwei

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

EELMCDA: Combining evolutionary ensemble learning with matrix feature decomposition for predicting circRNA-disease associations

Wang, Zheng, Wang, Lei, You, Zhu-Hong, Li, Yang, Wang, Zhenyu

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

CRISPR/Cas13a-Programmed Cu NCs and Z‑Scheme T‑COF/Ag2S for Photoelectrochemical Biosensing of circRNA

Yuan, Xinxin^aff1, Geng, Wenchao^aff2, Ji, Jiangying^aff1, Yan, Zhiyi^aff1, Wei, Jiarui^aff1, Wu, Yongjun^aff1, Yang, Ruiying^aff1

LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features

Lan, W., Li, C., Chen, Q., Yu, N., Pan, Y., Zheng, Y., Chen, Y.P.

MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN

Tian, Y., Zou, Q., Wang, C., Jia, C.

Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification

Ai, N., Yuan, H., Liang, Y., Lu, S., Ouyang, D., Lai, Q.H., Lai, L.L.

SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction

Shang, J., Zhao, L., He, X., Meng, X., Zhang, L., Ge, D., Li, F., Liu, J.

circ2DGNN: circRNA-Disease Association Prediction via Transformer-Based Graph Neural Network

Cen, K., Xing, Z., Wang, X., Wang, Y., Li, J.

KGRACDA: A Model Based on Knowledge Graph from Recursion and Attention Aggregation for CircRNA-Disease Association Prediction

Wang, Y., Ma, M., Xie, Y., Peng, Q., Lyu, H., Sun, H., Fu, L.