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20th ISBRA 2024: Kunming, China - Part I
- Wei Peng
, Zhipeng Cai
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14954, Springer 2024, ISBN 978-981-97-5127-3 - Yunhai Li, Pengpai Li, Duanchen Sun, Zhi-Ping Liu:
Predicting Drug-Target Affinity Using Protein Pocket and Graph Convolution Network. 1-12 - Ju Xiang, Shengkai Chen, Xiangmao Meng, Ruiqing Zheng, Ying Zheng, Min Li:
MSMK: Multiscale Module Kernel for Identifying Disease-Related Genes. 13-24 - Zhan Tang, Xupeng Kou, Hongcheng Xue, Yuantian Xia:
Flat and Nested Protein Name Recognition Based on BioBERT and Biaffine Decoder. 25-38 - Limai Jiang, Yi Pan, Yunpeng Cai:
RFIR: A Lightweight Network for Retinal Fundus Image Restoration. 39-51 - Sarwan Ali, Haris Mansoor, Prakash Chourasia, Yasir Ali, Murray Patterson:
Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. 52-62 - Shuailin Xue, Fangfang Zhu, Changmiao Wang, Wenwen Min
stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. 63-75 - Donghai Fang, Yichen Gao, Zhaoying Wang, Fangfang Zhu, Wenwen Min
Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis. 76-88 - Zhiceng Shi, Fangfang Zhu, Changmiao Wang, Wenwen Min
Spatial Gene Expression Prediction from Histology Images with STco. 89-100 - Andrejs Sizovs, Sandra Silina, Gatis Melkus, Peteris Rucevskis, Lelde Lace, Edgars Celms, Juris Viksna:
Exploration and Visualization Methods for Chromatin Interaction Data. 101-113 - Guoqing Zhang
A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation. 114-126 - Yusheng Jiang, Hongyu Zhang, Jinting Guan
UFGOT: Unbalanced Filter Graph Alignment with Optimal Transport for Cancer Subtyping Based on Multi-omics Data. 127-138 - Yi Ou, Yaotong Song, Zhipeng Liu, Zhiming Zhang, Jun Tang, Shangce Gao:
Dendritic SE-ResNet Learning for Bioinformatic Classification. 139-150 - Xing Peng, Yuan Dang, Jingyun Huang, Shangyi Luo, Zhuang Xiong:
GSDRP: Fusing Drug Sequence Features with Graph Features to Predict Drug Response. 151-168 - Huiliang Luo, Guojian Deng, Riqian Hu, Ruiquan Ge, Feiwei Qin, Changmiao Wang:
CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-Binding Protein Site Prediction. 169-181 - Bikram Sahoo
Machine Learning-Driven Discovery of Quadruple-Negative Breast Cancer Subtypes from Gene Expression Data. 182-195 - Xinzi Chen, Pei Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions. 196-211 - Yaoyu Wang, Xiaohua Wan, Cheng Chen, Fa Zhang, Xuefeng Cui:
Central Feature Network Enables Accurate Detection of Both Small and Large Particles in Cryo-Electron Tomography. 212-223 - Guangyi Tang, Qingbao Zhang, Dengju Yao, Xiaojuan Zhan:
LncRNA-Disease Association Prediction Based on Integrated Application of Matrix Decomposition and Graph Contrastive Learning. 224-236 - Yuhong Pang, Yantuan Xian, Yan Xiang, Yuxin Huang:
Predictive Score-Guided Mixup for Medical Text Classification. 237-249 - Jialiang Sun
CHASOS: A Novel Deep Learning Approach for Chromatin Loop Predictions. 250-261 - Phuc-Xuan-Quynh Nguyen, Hoai-Nhan Tran, Cheng Yan, Jianxin Wang:
A Deep Metric Learning Based Method for Predicting MiRNA-Disease Associations. 262-273 - Yueyi Cai, Nan Zhou, Junran Zhao, Shunfang Wang:
Learning an Adaptive Self-expressive Fusion Model for Multi-omics Cancer Subtype Prediction. 274-285 - Yi Guo, Xiaodi Hou, Zhi Liu, Yijia Zhang:
IFNet: An Image-Enhanced Cross-Modal Fusion Network for Radiology Report Generation. 286-297 - Shilong Wang, Xiaobo Li, Wen Qu, Hongfei Lin, Yi-Jia Zhang:
Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment. 298-309 - Tianqi Teng, Feng Yang, Qiang Zhang, Juan Liu
Variable-Length Promoter Strength Prediction Based on Graph Convolution. 310-321 - Benjie Zhou
ScMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering. 322-334 - Mingya Zhang, Yue Yu, Sun Jin, Limei Gu, Tingsheng Lin, Xianping Tao:
VM-UNET-V2: Rethinking Vision Mamba UNet for Medical Image Segmentation. 335-346 - Peng Xi, Wenjuan Tang, Shaoliang Peng:
Fighting Fire with Fire: Medical AI Models Defend Against Backdoor Attacks via Self-learning. 347-358 - Zhen Ju, Mingyu Wang, Xuelei Li, Jintao Meng, Wenhui Xi, Yanjie Wei:
An In-Depth Assessment of Sequence Clustering Software in Bioinformatics. 359-370 - Shaokai Wang, Bin Ma:
Novel Fine-Tuning Strategy on Pre-trained Protein Model Enhances ACP Functional Type Classification. 371-382 - Chaokun Yan, Menghan Yin, Wenjuan Liang, Haicao Yan, Huimin Luo, Junwei Luo:
Enhancing Privacy and Preserving Accuracy in Medical Image Classification with Limited Labeled Samples. 383-394 - Jiale Hou, Zikai Wang, Haoran Lu, Xinzhe Pang, Yunpeng Cai:
gaBERT: An Interpretable Pretrained Deep Learning Framework for Cancer Gene Marker Discovery. 395-407 - Jiancun Zhou, Hulin Kuang, Yahui Wang, Jianxin Wang:
Hybrid CNN and Low-Complexity Transformer Network with Attention-Based Feature Fusion for Predicting Lung Cancer Tumor After Neoadjuvant Chemoimmunotherapy. 408-417 - Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng, Jin-Xing Liu:
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics. 418-426 - Rongyuan Li, Jingli Wu, Gaoshi Li, Jiafei Liu, Jinlu Liu, Junbo Xuan, Zheng Deng:
IntroGRN: Gene Regulatory Network Inference from Single-Cell RNA Data Based on Introspective VAE. 427-438 - Alexander M. Andrianov, Konstantin V. Furs, Anna V. Gonchar, Xiong Xie, Anna D. Karpenko, Yan V. Laikov, Danila A. Varabyeu, Hong Liu, Alexander V. Tuzikov:
Identification of Potential SARS-CoV-2 Main Protease Inhibitors Using Drug Repurposing and Molecular Modeling. 439-448 - Rawshon Raha, Qiang Liu, Fang-Xiang Wu:
An Ensemble Learning Model for Predicting Unseen TCR-Epitope Interactions. 449-460 - Mohammad Bataineh, Kamal Al Nasr, Richard Mu, Mohammed Alamri:
Deep Learning Approach to Identify Protein's Secondary Structure Elements. 461-472 - Wei Lan, Weihao Zhou, Qingfeng Chen, Ruiqing Zheng, Yi Pan, Yi-Ping Phoebe Chen
Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning. 473-482 - Jinhu Zhuang
Continuous Identification of Sepsis-Associated Acute Heart Failure Patients: An Integrated LSTM-Based Algorithm. 483-494 - Xia Chen
A Novel Approach for Subtype Identification via Multi-omics Data Using Adversarial Autoencoder. 495-505
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