- Mridula Shan
:
Real-Time Monitoring of Health Security Attacks with R-based Data Visualization Dashboard. BCB 2023: 89:1 - Wenqi Shi, Benoit Louis Marteau, Felipe O. Giuste, May Dongmei Wang:
Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics. BCB 2023: 28:1-28:6 - Wenqi Shi, Yuchen Zhuang, Yuanda Zhu, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang:
Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making. BCB 2023: 14:1-14:10 - Eric V. Strobl:
Root Causal Inference from Single Cell RNA Sequencing with the Negative Binomial. BCB 2023: 15:1-15:10 - Jonathan W. Stubblefield, Trishna Niraula:
Using Large Language Models to Translate Machine Results to Human Results. BCB 2023: 96:1 - Justin Z. Tam, Alexandra Chua, Adyn Gallagher, Denice Omene, Danielle Okun, Dominic DiFranzo, Brian Y. Chen:
A Containerization Framework for Bioinformatics Software to Advance Scalability, Portability, and Maintainability. BCB 2023: 104:1-104:5 - Junior Ben Tamo, Wenqi Shi, Yuanda Zhu, Micky C. Nnamdi, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang:
Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes. BCB 2023: 2:1-2:10 - Zijia Tang, Tonglin Zhang, Qianqian Song, Jing Su, Baijian Yang:
PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease. BCB 2023: 47:1-47:9 - Farhan Tanvir, Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Esra Akbas:
Predicting Drug-drug Interactions Using Heterogeneous Graph Attention Networks. BCB 2023: 48:1-48:6 - Conrad T. Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer:
Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. BCB 2023: 25:1-25:6 - Brandon Philip Theodorou, Cao Xiao, Jimeng Sun:
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network. BCB 2023: 55:1-55:9 - Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo:
Self-Supervised Learning with Touchscreen Typing. A Generalizable Strategy for Parkinson's Disease Detection Across Datasets. BCB 2023: 91:1 - Naga Sai Kavya Vaddadi, Taher Mun, Benjamin Thomas Langmead:
Minimizing Reference Bias: The Impute-First Approach for Personalized Genome Analysis. BCB 2023: 81:1 - Nguyen-Kieu Viet-Nhi, Nguyen-Quoc-Khanh Le, Vu Cong Truc, Thi Thuy Nguyen, Tran Nguyen Anh Duy, Nguyen Tu Thai Bao, How Tseng, Shih-Han Hung:
Predicting Tumor Mutational Burden and Survival in Head and Neck Squamous Cancer Patients Using Machine Learning and Bioinformatics Approaches. BCB 2023: 87:1 - Kwan-Ling Wu, Melisa Montalvo, Prashant Menon, Badrinath Roysam, Navin Varadarajan:
Automated Focus Restoration for High-throughput Phase Contrast Time-lapse Microscopy with De-noising Diffusion Probabilistic Model. BCB 2023: 58:1 - Katherine A. Wuestney, Beiyu Lin, Diane J. Cook, Roschelle L. Fritz:
Modeling Human Frailty with a Smart Home-Based Approximation of Entropy. BCB 2023: 40:1-40:6 - Chu Xin, Seokhwan Kim, Kyoung Shin Park:
A Comparison of Machine Learning Models with Data Augmentation Techniques for Skeleton-based Human Action Recognition. BCB 2023: 19:1-19:6 - Tianshu Xu, Venkata V. B. Yallapragada, Mark Tangney, Sabin Tabirca:
ProMVR-Interactive Protein Educational Tool. BCB 2023: 88:1 - Liang Xue, Mykola Bordyuh, Djork-Arné Clevert, Robert Stanton:
Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics. BCB 2023: 61:1 - Ju-Yeh Yang, Tsung-Chun Lee, Chih-Yu Jian, Chih-Chung Hsu:
Multimodality-aware Intra-dialytic Hypotension Classifier: A Bilingual NLP Approach to Classify Dialysis Records. BCB 2023: 82:1 - Jeewon Yang, Dohoon Lee, Bonil Koo, Dabin Jeong, Sun Kim:
Deep learning-based survival prediction using DNA methylation-derived 3D genomic information. BCB 2023: 7:1-7:14 - Kevin Kaizhe Yang, Julian Stanley:
Computational Methods to Determine Genetic Factors in Nicotine Dependency. BCB 2023: 63:1 - Selina Zhang, Jake Yue Chen:
Designing Helicobacter pylori as an Anticancer Bacterial Vector. BCB 2023: 69:1 - Wenlong Zhang, Kangping Zeng, Xinming Yang, Tian Shi, Ping Wang:
Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL Database. BCB 2023: 54:1-54:10 - Konghao Zhao, Sapan Bhandari, Nathan P. Whitener, Jason M. Grayson, Natalia Khuri:
An Ensemble Machine Learning Approach for Benchmarking and Selection of scRNA-seq Integration Methods. BCB 2023: 3:1-3:10 - Julia Zheng, Yuya Nishida, Alicja Okrasinska, Gregory M. Bonito, Elizabeth A. C. Heath-Heckman, Kevin J. Liu:
The Impact of Species Tree Estimation Error on Cophylogenetic Reconstruction. BCB 2023: 18:1-18:10 - Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen:
Multi-Group Tensor Canonical Correlation Analysis. BCB 2023: 12:1-12:10 - May D. Wang, Byung-Jun Yoon:
Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2023, Houston, TX, USA, September 3-6, 2023. ACM 2023 [contents] - 2022
- Zifeng Wang, Jimeng Sun:
SurvTRACE: transformers for survival analysis with competing events. BCB 2022: 49:1-49:9 - Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang:
MoDNA: motif-oriented pre-training for DNA language model. BCB 2022: 5:1-5:5
