- 2024
- Jiaqi Wang
, Houping Xiao, Fenglong Ma:
Asymmetric Mutual Learning for Decentralized Federated Medical Imaging. BCB 2024: 25:1-25:9 - Xiao Song, Jiafan Liu, Yan Liu, Yun Li, Wenbin Lei, Ruxin Wang:
Rethinking Radiology Report Generation via Causal Inspired Counterfactual Augmentation. BCB 2024: 5:1-5:10 - Yuchen Zhang, Xiujuan Lei, Zhengfeng Wang, Yi Pan:
ICDFGF: Identification of potential circRNA-disease associations based on feature graph factorization. BCB 2024: 9:1-9:10 - Mahmudul Hasan, Ariadna Kim Silva, Shahira Abousamra, Shao-Jun Tang, Prateek Prasanna, Joel H. Saltz, Kevin Gardner, Chao Chen, Alisa Yurovsky:
New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients. BCB 2024: 17:1-17:12 - Lin Zhang, Feng Wang, Jiani Ma, Hui Liu:
scDBImpute: Dual-branch imputation for single-cell RNA-seq data dropouts. BCB 2024: 89:1 - Giuseppe Agapito, Mario Cannataro, Wes J. Lloyd, Chiara Zucco:
13th Workshop on Parallel and AI-based Bioinformatics and Biomedicine (ParBio): Editorial. BCB 2024: 95:1 - Mariam Almutairi, Lulwah Alkulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, Chang-Tien Lu:
FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics. BCB 2024: 38:1-38:7 - Richard Annan, Hong Qin, Xiaohong Yuan, Kaushik Roy, Robert H. Newman, Letu Qingge:
Efficient Federated Learning with Multi-Teacher Knowledge Distillation for COVID-19 Detection. BCB 2024: 56:1-56:6 - Andrew Balch, Afsaneh Doryab:
Towards Smartphone-Based Monitoring of Micronutrient Status. BCB 2024: 90:1 - Junyi Bian, Jiaxuan Zheng, Yuyi Zhang, Hong Zhou, Shanfeng Zhu:
One-shot Biomedical Named Entity Recognition via Knowledge-Inspired Large Language Model. BCB 2024: 26:1-26:10 - Sangam Buddhacharya, Noël Lefevre, Elain S. Fu, Stephen A. Ramsey:
Evaluation of multi-feature machine-learning models for analyzing electrochemical signals for drug monitoring. BCB 2024: 55:1-55:9 - Fu Chen, Leqi Tian, Teng Fei, Tianwei Yu:
Fast-scBatch: Batch Effect Correction Using Neural Network-Driven Distance Matrix Adjustment. BCB 2024: 66:1-66:6 - Bolin Chen, Zhengyu Wang, Ziyuan Li:
MCWCM: Multi-Criteria Ranking and Weighted Control Model for Identifying Key Drivers in cancer. BCB 2024: 60:1-60:6 - Rongqin Chen, Dan Wu, Leong Hou U, Ye Li:
SVMPT: A Hybrid Approach to Sparse and Irregular Clinical Data Learning with Selective Variable-wise Message Passing and Transformer. BCB 2024: 23:1-23:8 - Jianing Chen, Yuansong Zeng, Ningyuan Shangguan, Wenhao Zhou, Wenbing Li, Yuedong Yang:
Graph learning of disentangled representation for accurately aligning multiple spatial slices. BCB 2024: 59:1-59:8 - Lei Chu, Hongyan Wu, Yi Pan:
ChatASD: A Dialogue Framework for LLMs Enhanced by Autism Knowledge Graph Retrieval. BCB 2024: 36:1-36:8 - Xuefeng Cui:
Cutting-Edge Algorithms in Genomics: From Theory to Practice. BCB 2024: 96:1 - Mingzhe Cui, Tao Chen, Yang Jiao, Qian Zheng, Yi Pan, Lei Xie:
PMSA-Net: A parallel multi-scale attention network for MI-BCI classification. BCB 2024: 54:1-54:6 - Thao M. Dang, Yuzhi Guo, Hehuan Ma, Qifeng Zhou, Saiyang Na, Jean Gao, Junzhou Huang:
MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification. BCB 2024: 64:1-64:8 - Manas Jyoti Das, Praveen Rao, Lisong Xu:
Impact of the Networking Infrastructure on the Performance of Variant Calling on Human Genomes in Commodity Clusters. BCB 2024: 1:1-1:11 - Tao Deng, Mengqian Huang, Kaichen Xu, Yan Lu, Siyu Chen, Yucheng Xu, Nina Xie, Hao Wu, Xiaobo Sun:
MIXER: Identifying Co-expressed Genes in Multimodal Transcriptomic Sequencing Data. BCB 2024: 35:1 - Yulian Ding, Yi Pan, Ronald C. Geyer, Franco J. Vizeacoumar, Frederick S. Vizeacoumar, Fang-Xiang Wu:
Deciphering Bladder Cancer-Related circRNA Biomarkers: An Ensemble Model Integrating Deep Learning and Statistics for circRNA Analysis. BCB 2024: 2:1-2:10 - Juechu Dong, Xueshen Liu, Harisankar Sadasivan, Sriranjani Sitaraman, Satish Narayanasamy:
mm2-gb: GPU Accelerated Minimap2 for Long Read DNA Mapping. BCB 2024: 24:1-24:9 - Muhit Islam Emon, Badhan Das, Ashrith Reddy Thukkaraju, Liqing Zhang:
DeePSP-GIN: identification and classification of phage structural proteins using predicted protein structure, pretrained protein language model, and graph isomorphism network. BCB 2024: 42:1-42:6 - Senbiao Fang, Huimin Zhu, Yongfan Ming, Kunying Niu, Baoying Zhao, Min Li:
RBVS: Database of the Receptor-Based Virtual Screening. BCB 2024: 4:1-4:9 - Shuo Feng, Zhe Sun, Runzhi Li, Siyu Yan, Lihong Ma:
Improved genetic algorithm for readmission risk index optimization. BCB 2024: 84:1 - Mees Frensel, Zaid Al-Ars, H. Peter Hofstee:
Learning Structured Sparsity for Efficient Nanopore DNA Basecalling Using Delayed Masking. BCB 2024: 12:1-12:9 - Yashaswi Galhotra, Ying Ding, Li Shen, Huanmei Wu, Tianlong Chen, Kaixiong Zhou:
Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health. BCB 2024: 41:1-41:6 - Qi Gao, Guosheng Han, Jialin Li, Li Zeng:
GMF-MGCN-LDA: Prediction of IncRNA-disease association based on novel generalized matrix factorization and graph neural networks. BCB 2024: 28:1-28:10 - Shuang Ge, Shuqing Sun, Huan Xu, Zhixiang Ren:
Distilling Multi-Modal Genomic Knowledge for Drug Response Prediction. BCB 2024: 81:1
