ISBRA (1)

Keyphrases

Publications

2024

Yusheng Jiang, Hongyu Zhang, Jinting Guan
UFGOT: Unbalanced Filter Graph Alignment with Optimal Transport for Cancer Subtyping Based on Multi-omics Data. ISBRA (1) (2024)
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. ISBRA (1) (2024)
Donghai Fang, Yichen Gao, Zhaoying Wang, Fangfang Zhu, Wenwen Min
Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis. ISBRA (1) (2024)
Limai Jiang, Yi Pan, Yunpeng Cai
RFIR: A Lightweight Network for Retinal Fundus Image Restoration. ISBRA (1) (2024)
Xinzi Chen, Pei Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions. ISBRA (1) (2024)
Jinhu Zhuang, Linyan Xie, Chenxi Peng, Guangjian Zeng, Ming Wu, Xiaxia Yu
Continuous Identification of Sepsis-Associated Acute Heart Failure Patients: An Integrated LSTM-Based Algorithm. ISBRA (1) (2024)
Jiale Hou, Zikai Wang, Haoran Lu, Xinzhe Pang, Yunpeng Cai
gaBERT: An Interpretable Pretrained Deep Learning Framework for Cancer Gene Marker Discovery. ISBRA (1) (2024)
Sarwan Ali, Haris Mansoor, Prakash Chourasia, Yasir Ali, Murray Patterson
Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. ISBRA (1) (2024)
Andrejs Sizovs, Sandra Silina, Gatis Melkus, Peteris Rucevskis, Lelde Lace, Edgars Celms, Juris Viksna
Exploration and Visualization Methods for Chromatin Interaction Data. ISBRA (1) (2024)
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. ISBRA (1) (2024)
Yi Guo, Xiaodi Hou, Zhi Liu, Yijia Zhang
IFNet: An Image-Enhanced Cross-Modal Fusion Network for Radiology Report Generation. ISBRA (1) (2024)
Zhiceng Shi, Fangfang Zhu, Changmiao Wang, Wenwen Min
Spatial Gene Expression Prediction from Histology Images with STco. ISBRA (1) (2024)
Yueyi Cai, Nan Zhou, Junran Zhao, Shunfang Wang
Learning an Adaptive Self-expressive Fusion Model for Multi-omics Cancer Subtype Prediction. ISBRA (1) (2024)
Phuc-Xuan-Quynh Nguyen, Hoai-Nhan Tran, Cheng Yan, Jianxin Wang
A Deep Metric Learning Based Method for Predicting MiRNA-Disease Associations. ISBRA (1) (2024)
Mingya Zhang, Yue Yu, Sun Jin, Limei Gu, Tingsheng Lin, Xianping Tao
VM-UNET-V2: Rethinking Vision Mamba UNet for Medical Image Segmentation. ISBRA (1) (2024)
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. ISBRA (1) (2024)
Mohammad Bataineh, Kamal Al Nasr, Richard Mu, Mohammed Alamri
Deep Learning Approach to Identify Protein's Secondary Structure Elements. ISBRA (1) (2024)
Shilong Wang, Xiaobo Li, Wen Qu, Hongfei Lin, Yi-Jia Zhang
Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment. ISBRA (1) (2024)
Zhan Tang, Xupeng Kou, Hongcheng Xue, Yuantian Xia
Flat and Nested Protein Name Recognition Based on BioBERT and Biaffine Decoder. ISBRA (1) (2024)
Tianqi Teng, Feng Yang, Qiang Zhang, Juan Liu
Variable-Length Promoter Strength Prediction Based on Graph Convolution. ISBRA (1) (2024)
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. ISBRA (1) (2024)
Yuhong Pang, Yantuan Xian, Yan Xiang, Yuxin Huang
Predictive Score-Guided Mixup for Medical Text Classification. ISBRA (1) (2024)
Xia Chen, Hao Nie, Quanwei Chen, Xiang Zhang, Zixing He, Xiuxiu Chao, Weihao Ou, Xiangzheng Fu, Haowen Chen
A Novel Approach for Subtype Identification via Multi-omics Data Using Adversarial Autoencoder. ISBRA (1) (2024)
Guangyi Tang, Qingbao Zhang, Dengju Yao, Xiaojuan Zhan
LncRNA-Disease Association Prediction Based on Integrated Application of Matrix Decomposition and Graph Contrastive Learning. ISBRA (1) (2024)
Ju Xiang, Shengkai Chen, Xiangmao Meng, Ruiqing Zheng, Ying Zheng, Min Li
MSMK: Multiscale Module Kernel for Identifying Disease-Related Genes. ISBRA (1) (2024)
Yi Ou, Yaotong Song, Zhipeng Liu, Zhiming Zhang, Jun Tang, Shangce Gao
Dendritic SE-ResNet Learning for Bioinformatic Classification. ISBRA (1) (2024)
Wei Lan, Weihao Zhou, Qingfeng Chen, Ruiqing Zheng, Yi Pan, Yi-Ping Phoebe Chen
Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning. ISBRA (1) (2024)
Bikram Sahoo, Nikita Jinna, Padmashree Rida, Zandra Pinnix, Alex Zelikovsky
Machine Learning-Driven Discovery of Quadruple-Negative Breast Cancer Subtypes from Gene Expression Data. ISBRA (1) (2024)
Benjie Zhou, Hongyang Jiang, Yuezhu Wang, Yujie Gu, Huiyan Sun
ScMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering. ISBRA (1) (2024)
Rawshon Raha, Qiang Liu, Fang-Xiang Wu
An Ensemble Learning Model for Predicting Unseen TCR-Epitope Interactions. ISBRA (1) (2024)
Guoqing Zhang, Yang Li
A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation. ISBRA (1) (2024)
Yunhai Li, Pengpai Li, Duanchen Sun, Zhi-Ping Liu
Predicting Drug-Target Affinity Using Protein Pocket and Graph Convolution Network. ISBRA (1) (2024)
Peng Xi, Wenjuan Tang, Shaoliang Peng
Fighting Fire with Fire: Medical AI Models Defend Against Backdoor Attacks via Self-learning. ISBRA (1) (2024)
Shuailin Xue, Fangfang Zhu, Changmiao Wang, Wenwen Min
stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. ISBRA (1) (2024)
Shaokai Wang, Bin Ma
Novel Fine-Tuning Strategy on Pre-trained Protein Model Enhances ACP Functional Type Classification. ISBRA (1) (2024)
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. ISBRA (1) (2024)
Jialiang Sun, Jun Guo, Jian Liu
CHASOS: A Novel Deep Learning Approach for Chromatin Loop Predictions. ISBRA (1) (2024)
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. ISBRA (1) (2024)
Zhen Ju, Mingyu Wang, Xuelei Li, Jintao Meng, Wenhui Xi, Yanjie Wei
An In-Depth Assessment of Sequence Clustering Software in Bioinformatics. ISBRA (1) (2024)
Xing Peng, Yuan Dang, Jingyun Huang, Shangyi Luo, Zhuang Xiong
GSDRP: Fusing Drug Sequence Features with Graph Features to Predict Drug Response. ISBRA (1) (2024)
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. ISBRA (1) (2024)

volume 14954, 2024

Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part I ISBRA (1) 14954 (2024)