- Yuanhao Gong
:
A High Performance Parametric Model for 3D Gingiva-Tooth Boundary via Generalized Cylinders. BCB 2024: 91:1 - Zhengze Gong, Wenhui Wang, Xiaocong Tan, Mengkun Gan, Weijie Xie:
EpiUNet: Stain-Style Transfer Model for Histology Image Based on Generative Adversarial Network. BCB 2024: 44:1-44:6 - James Gu, Jake Y. Chen:
MLPA: A Multi-scale Digital Twin Framework for Personalized Cancer Simulation and Treatment Optimization. BCB 2024: 76:1 - Sahand Hamzehei, Gianna Raimondi, Mostafa Karami, Linnaea Ostroff, Sheida Nabavi:
CAPTURE: A Clustered Adaptive Patchwork Technique for Unified Registration Enhancement in Biological Imaging. BCB 2024: 62:1-62:6 - Kohei Hashimoto, Kana Shimizu:
Enhancing Privacy Protection for Human Genome Synthesis Using Gradient Clipping. BCB 2024: 37:1-37:6 - Gavin L. A. Hearne, Mohammad S. Refahi, Haozhe Neil Duan, James R. Brown, Gail L. Rosen:
Normalized Compression Distance for DNA Classification. BCB 2024: 93:1 - Andrew Hornback, Monica Isgut, Anirudh Jaishankar, Harinishree Sathu, Pavithra Avula, May D. Wang:
Uncovering Key Features of Individuals Who Benefit from Polygenic Risk Scores in Prostate Cancer Prediction. BCB 2024: 47:1-47:6 - Kang Hu, Minghua Xu, Xin Gao, Jianxin Wang:
NeuralTE: an accurate approach for Transposable Element superfamily classification with multi-feature fusion. BCB 2024: 33:1-33:10 - Michael Huang, Yue Li:
scMoE: single-cell mixture of experts for learning hierarchical, cell-type-specific, and interpretable representations from heterogeneous scRNA-seq data. BCB 2024: 57:1-57:8 - Yixian Huang, Huacong Wu, Ying Cai, Danhong Dong, Sicong Yu, Yigang Chen, Zihao Zhu, Yang-Chi-Dung Lin, Hsien-Da Huang, Hsi-Yuan Huang:
DeepDrugmiR: a two-stage deep learning method for inferring small molecules' regulatory effects on microRNA expression. BCB 2024: 10:1-10:10 - Sugam Jaiswal, Joyce Lee, Joe Berria, Raviteja Tanikella, Annuska Zolyomi, Muhammad Aurangzeb Ahmad, Dong Si:
Building Personality-Adaptive Conversational AI for Mental Health Therapy. BCB 2024: 92:1 - Zekun Jiang, Wei Dai, Qu Wei, Ziyuan Qin, Kang Li, Le Zhang:
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting. BCB 2024: 71:1 - Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Weizhi An, Bing Song, Yi Han, Jean Gao, Tao Wang, Junzhou Huang:
AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3. BCB 2024: 67:1-67:8 - Mostafa Karami, Bingjun Li, Samson Weiner, Sahand Hamzehei, Sheida Nabavi:
DCCNV: Enhanced CNV Detection in Single-Cell Sequencing Using Diffusion Process and Contrastive Learning. BCB 2024: 48:1-48:6 - Tamim Khatib, Oscar Diaz de la Rua, Kawthar Moria, Tamer Kahveci:
DANTE: Determining Adaptation trajectories in biological Networks Through Evolutionary mapping. BCB 2024: 52:1-52:6 - Weimiao Kong, Yuqi Lin, Yejun Wang:
PCMA: A New Mediation Analysis Method Effectively Identifies Relevant Pathways Connecting Microbiota and Diseases. BCB 2024: 79:1 - Wei Lan, Wenyi Chen, Chunling Li, Qingfeng Chen, Yi-Ping Phoebe Chen, Yi Pan:
GCLNSTDA: Predicting tsRNA-Disease Association Based on Contrastive Learning and Negative Sampling. BCB 2024: 8:1-8:7 - Zongxuan Li, Wenkui Huang, Hong-Dong Li:
MVFormer: Predicting the pathogenicity of missense variants using gated transformers. BCB 2024: 63:1-63:6 - Runzhi Li, Zhe Sun, Jing Wang, Gang Chen, Siyu Yan, Lihong Ma:
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction of ICU patients. BCB 2024: 86:1 - Xueliang Li, Bihan Shen, Fangyoumin Feng, Kunshi Li, Liangxiao Ma, Hong Li:
Dual-view jointly learning improves personalized drug synergy prediction. BCB 2024: 72:1 - Zeming Li, Yu Xu, Debajyoti Chowdhury, Hip Fung Yip, Chonghao Wang, Lu Zhang:
Med-PRSIMD: Enhanced Complex Disease Risk Prediction through Integrative Analysis of Multi-Type Data and Medical History Records. BCB 2024: 97:1 - Yusen Lin, Feiyan Lin, Yongjun Zhang, Jiajian Zhou:
PathoEye: a novel deep learning framework for histopathological image analysis of skin tissue. BCB 2024: 46:1-46:6 - Zengding Liu, Chen Chen, Jiannong Cao, Minglei Pan, Jikui Liu, Nan Li, Fen Miao, Ye Li:
Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals. BCB 2024: 27:1-27:11 - Zhendong Liu, Jun Liu, Dongqing Wei, Yanjie Wei, Rongjun Man:
The Algorithms of Predicting DNA Binding Site with Combined Feature Encoding and Optimum Decision. BCB 2024: 39:1-39:8 - Pengfei Liu, Jun Tao, Zhixiang Ren:
Dynamic Knowledge-Prior for Few-Shot Drug-Drug Interaction Events Prediction. BCB 2024: 82:1 - Zhangdaihong Liu, Xuan Wu, Yang Yang, David A. Clifton:
A Comparison of Representation Learning Methods for Medical Concepts in EHR Databases. BCB 2024: 94:1 - Jiang Liu, Chan Zhou, Yuwen Chen, Yihao Xie, Kunhua Zhong, Qilong Sun, Yujie Li, Bin Yi:
gPSRM: A generative propensity score-based replay memory for deep reinforcement learnings. BCB 2024: 45:1-45:8 - Ruimin Ma, Ying Huang, Yi Pan, Yanlin Wang, Yanjie Wei:
Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI. BCB 2024: 75:1 - Teng Ma, Haochen Zhao, Qichang Zhao, Jianxin Wang:
Cox-Path: Biological Pathway-Informed Graph Neural Network for Cancer Survival Prediction. BCB 2024: 70:1-70:6 - Kaniz Fatema Madhobi, Eric Lofgren, Ananth Kalyanaraman:
A Multi-task Learning Approach for Predicting Spatio-temporal Patient Variables. BCB 2024: 15:1-15:10
