default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID20th ICIC 2024: Tianjin, China - Part II (LNBI)
- De-Shuang Huang, Yijie Pan, Qinhu Zhang:
Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part II (LNBI). Lecture Notes in Computer Science 14882, Springer 2024, ISBN 978-981-97-5691-9
Biomedical Data Modeling and Mining
- Yaojia Chen, Mengting Niu, Yi Liu, Jiacheng Wang, Yijie Ding, Quan Zou:
AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning. 3-14 - Lin Yuan, Shengguo Sun, Zhujun Li, Shoukang Zhang, Xingang Wang, Yushui Geng:
Adaptive Weight Sampling and Graph Transformer Neural Network Framework for Cell Type Annotation of Scrna-seq Data. 15-24 - Jiewei Li, Hui Li, Lingxiao Xu, SiyeYang, Ping Wei, Junli Li:
BiLETCR: An Efficient PMHC-TCR Combined Forecasting Method. 25-37 - Hanjun Zhang, Yunxiang Cai, Fengya Ge, Wenjuan Zhang, Jinqian Li, Shuxin Chen, Chao Chen, Lin Wang:
CDDTR: Cross-Domain Autoencoders for Predicting Cell Type Specific Drug-Induced Transcriptional Responses. 38-49 - Jianing Zhang, Chao Song, Ting Cui, Chunquan Li, Jiquan Ma:
ChiMamba: Predicting Chromatin Interactions Based on Mamba. 50-61 - Lin Yuan, Zhijie Xu, Zhujun Li, Shoukang Zhang, Chunyu Hu, Wendong Yu, Hongwei Wei, Xingang Wang, Yushui Geng:
Cluster Analysis of Scrna-Seq Data Combining Bioinformatics with Graph Attention Autoencoders and Ensemble Clustering. 62-71 - Qiwen Wang, Chen Lin, Wei Su, Liang Xiao, Xiangxiang Zeng:
Compound-Protein Interaction Prediction with Sparse Perturbation-Aware Attention. 72-83 - Xianghua Kong
, Cong Shen, Jijun Tang:
CUK-Band: A CUDA-Based Multiple Genomic Sequence Alignment on GPU. 84-95 - Wanjie Yu, Haitao Yu:
DeepMHAttGRU-DTI: Prediction of Drug-Target Interactions Based on Knowledge Graph Random Walk Embeddings and GRU Neural Network. 96-107 - Qingyi Pan, Jingyi Zhang:
DiagNCF: Diagnosis Neural Collaborative Filtering for Accurate Medical Recommendation. 108-118 - Mengyao Wang, Xiaolong Zhang, Haoran Liu, Xiaoli Lin, Jing Hu, Jun Pang:
Drug Molecule Generation Method Based on Fusion of Protein Sequence Features. 119-130 - Shuo Hu, Jing Hu, Xiaolong Zhang:
Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature Fusion. 131-142 - Weiwenzheng Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu:
Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism. 143-154 - Wei Liu, JiaYing Wei, DiMing Wu, Ke Chen, Zhen Shen:
Fully Convolutional Neural Network for Predicting Cancer-Specific CircRNA-MiRNA Interaction Sites. 155-163 - Yun Zhou, Yiran Ma, Dong Liu, Jiangli Shang, Wei Wang:
GSDPI: An Integrated Feature Extraction Framework for Predicting Novel Drug-Protein Interaction. 164-176 - Liangliang Chen, Xiaotong Wang, Ziqiang Liao, Juncong Lin:
Heterogeneous Genome Compression on Mobile Devices. 177-188 - Qianxi Lin, Zipeng Fan, Yanfei Li, Peng Zhang:
HyperCPI: A Novel Method Based on Hypergraph for Compound Protein Interaction Prediction with Good Generalization Ability. 189-200 - Xuesheng Lin, Yusheng Jiang, Jinting Guan:
iEMNN: An Iterative Integration Method for Single-Cell Transcriptomic Data Based on Network Similarity Enhancement and Mutual Nearest Neighbors. 201-211 - Tianjin Dai, Peng Chen, Jun Zhang, Bing Wang:
IGDACA: Imaging Genomics of Deep Autoencoder Cascade Attention Fusion Networks for Cervical Cancer Prognosis Prediction. 212-222 - Yushu Zhang, Lin Yuan, Zhujun Li:
LCKGCN: Identifying Potential Circrna-Disease Associations Based on Large Convolutional Kernel and Graph Convolutional Network. 223-231 - Wei Wang, Huiru Liang, Shihao Liang, Dong Liu, Hongjun Zhang, Jiangli Shang, Yun Zhou, Xianfang Wang:
MDGAE-DTI: Drug-Target Interactions Prediction Based on Multi-information Integration and Graph Auto-Encoder. 232-242 - Wei Wang, Ziwen Su, Dong Liu, Hongjun Zhang, Jiangli Shang, Yun Zhou, Xianfang Wang:
MFFDTA: A Multimodal Feature Fusion Framework for Drug-Target Affinity Prediction. 243-254 - Haoquan Chen, Bin Yan, Mingtao Pei:
Mitigating Data Imbalance in Medical Report Generation Through Visual Data Resampling. 255-266 - Chen Ye, Shaoping Zhang, Peng Shao:
Multi-strategy Collaborative Artificial Gorilla Troops Optimizer for DNA Coding Design. 267-277 - Ruiqi Li, Peishun Jiao, Junyi Li:
PF2PI: Protein Function Prediction Based on AlphaFold2 Information and Protein-Protein Interaction. 278-289 - Yanqi Guo, Qingfang Meng, Qiang Zhang, Xiaoyun Xu:
Prediction of Circular RNA-RBP Binding Sites Based on Multi-source Features and Cascade Forest. 290-301 - Haikuo Shi, Jing Hu, Xiaolong Zhang:
Prediction of Drug-Target Interaction Based on Substructural Subsequences and Multi-head Shared Attention Mechanisms. 302-313 - Kaixuan Shan, Xiankun Zhang, Chen Song:
Prediction of Protein-DNA Binding Sites Based on Protein Language Model and Deep Learning. 314-325 - Haopeng Shi, Xiankun Zhang, Qingxu Deng:
ProStructNet: Integration of Protein Sequence and Structure for the Prediction of Multi-label Subcellular Localization. 326-336 - Man Xu, Yuxuan Luo, Junhao Jiang, Zhiming Cui, Hongjie Wu:
Protein Manufacture: Protein Design Assisted by Machine Learning from Backbone to Sequence. 337-346 - Lin Yuan, Ling Zhao, Zhujun Li, Chunyu Hu, Shoukang Zhang, Xingang Wang, Yushui Geng:
ScADSATGRN: An Adaptive Diffusion Structure-Aware Transformer Based Method Inferring Gene Regulatory Networks from Single-Cell Transcriptomic Data. 347-356 - Yongxuan Tang, Jiawei Luo, Zhongyuan Xu, Zehao Xiong, Bo Wang, Nguyen Hoang Tu:
scGADR: Dimensionality Reduction of Single-Cell RNA-seq Data with ZINB-Based Graph Attention Autoencoder. 357-368
Medical Image Intelligent Diagnosis and Precision Analysis for Human Health
- Jiancun Zhou, Hulin Kuang, Yahui Wang, Jianxin Wang:
Combining CNN and Self-attention-Free Transformer Using Local-Global Attention Fusion for Lung Cancer Segmentation. 371-380 - Zhenyu Qian, Zhou Hong, Yaping Zhao, Lei Nie, Yizhang Jiang, Kaijian Xia:
Deep Multi-scale Subspace Clustering Based on Bayesian Optimization. 381-391 - Lin Shi, Zexin Wang, Yuanwei Ma, Jianjun Chen, Jingzhou Xu, Jun Qi:
Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals. 392-404 - Jie He, Lei Yang, Yunping Zhu, Donglian Li, Zhixing Ding, Yuhuan Lu, Bocheng Liang, Shengli Li:
Fetal Cardiac Structure Detection Using Multi-task Learning. 405-419 - Yaping Zhao, Yizhang Jiang, Zhenyu Qian, Lei Nie, Kaijian Xia:
Hippocampus Segmentation with Transformer-UNet Fusion and Squeeze-And-Excitation Block. 420-430 - Yuqiang Zhang, Yuying Li, Yang Yang, Donghui Zhang, Jixing Gong, Xiangfu Meng, Zhongjun Wan, Shanqing Gao:
MTCS-Net: A Novel Framework for Non-invasive Myocardial Tissue Quantitative Measurement and Instance Segmentation. 431-443 - Xingyu Yu, Xiang Li, Jijun Tong, Bin Yang:
Somatic Mutation Detection Using Ensemble of Machine Learning. 444-453 - Qianxi Yi, Songming Yang, Yuanzhuo Zhang, Yi Wang, Jing Wen:
TPMA-Net: Topology-Preserving Multi-Scale Aggregation Network for Liver Segments Based Vascular Territory. 454-466 - Ammar Nassr Mohammed, Hulin Kuang, Jianxin Wang:
ViT-Based Multi-task Learning Method for Pulmonary Embolism Detection, Localization, and Type Classification. 467-478
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-09-13 00:47 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
