- Patrizia Vizza, Mattia Cannistrà, Raffaele Giancotti, Pierangelo Veltri:
Image processing segmentation algorithms evaluation through implementation choices. BCB 2022: 71:1-71:7 - Yuqing Wang, Yun Zhao, Linda R. Petzold:
Predicting the need for blood transfusion in intensive care units with reinforcement learning. BCB 2022: 7:1-7:10 - Honglin Wang
, Pujan Joshi, Chenyu Zhang, Peter F. Maye, David W. Rowe, Dong-Guk Shin:
rCom: a route-based framework inferring cell type communication and regulatory network using single cell data. BCB 2022: 27:1-27:4 - Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB 2022: 10:1-10:6 - Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng:
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 2022: 9:1-9:9 - Anqi Wei, Liangjiang Wang:
Deep sequence representation learning for predicting human proteins with liquid-liquid phase separation propensity and synaptic functions. BCB 2022: 41:1-41:8 - Zongxing Xie, Hanrui Wang, Song Han, Elinor Schoenfeld, Fan Ye:
DeepVS: a deep learning approach for RF-based vital signs sensing. BCB 2022: 17:1-17:5 - Haidong Yi, Natalie Stanley:
CytoEMD: detecting and visualizing between-sample variation in relation to phenotype with earth mover's distance. BCB 2022: 28:1-28:14 - Alisa Yurovsky, Justin Gardin, Bruce Futcher, Steven Skiena:
Statistical methodology for ribosomal frameshift detection. BCB 2022: 12:1-12:10 - Michael A. Zeller, Anugrah Saxena, Giovani Trevisan, Aditi Sharma, Daniel Linhares, Karen M. Krueger, Jianqiang Zhang, Phillip C. Gauger:
PRRSView: an analytical platform for the assessment of PRRSV ORF5 genetic sequences. BCB 2022: 65:1 - Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao:
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data. BCB 2022: 48:1-48:8 - Jingwen Zhang, Enze Xu, Minghan Chen:
AT[N]-net: multimodal spatiotemporal network for subtype identification in Alzheimer's disease. BCB 2022: 63:1 - Yuanda Zhu, Aishwarya Mahale, Kourtney Peters, Lejy Mathew, Felipe O. Giuste, Blake J. Anderson, May D. Wang:
Using natural language processing on free-text clinical notes to identify patients with long-term COVID effects. BCB 2022: 46:1-46:9 - Lillian Zhu, Feng Zhu, Jodi Price:
TopographyNET: a deep learning model for EEG-based mind wandering detection. BCB 2022: 38:1-38:10 - BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7 - 10, 2022. ACM 2022, ISBN 978-1-4503-9386-7 [contents]
- 2021
- Mike Wong, Saeideh Ghahghaei, Arvind Chandna, Anagha Kulkarni:
Scalable non-invasive pediatric cerebral visual impairment screening with the higher visual function question inventory (HVFQI). BCB 2021: 66:1 - Mike Wong, Nayana Laxmeshwar, Rachit Joshi, Anagha Kulkarni:
Browsing weighted interactome models using GeneDive. BCB 2021: 65:1 - Tanbir Ahmed, Md Momin Al Aziz, Noman Mohammed, Xiaoqian Jiang:
Privacy preserving neural networks for electronic health records de-identification. BCB 2021: 8:1-8:6 - Md. Sadek Hossain Asif:
Developing a modified version of generative adversarial network to predict the potential anti-viral drug of COVID-19. BCB 2021: 60:1 - Erman Ayday, Youngjin Yoo, Anisa Halimi:
ShareTrace: an iterative message passing algorithm for efficient and effective disease risk assessment on an interaction graph. BCB 2021: 39:1-39:6 - Daniel N. Baker, Nathan Dyjack, Vladimir Braverman, Stephanie C. Hicks, Ben Langmead:
Fast and memory-efficient scRNA-seq k-means clustering with various distances. BCB 2021: 24:1-24:8 - Christopher R. Beal, John G. Peters, Ronald J. Nowling:
Sequence model evaluation framework for STARR-seq peak calling. BCB 2021: 59:1 - Yael Ben-Ari, Dan Flomin, Lianrong Pu, Yaron Orenstein, Ron Shamir:
Improving the efficiency of de Bruijn graph construction using compact universal hitting sets. BCB 2021: 4:1-4:9 - Linkel Boateng, Anita Nag, Homayoun Valafar:
Computational modeling of SARS-CoV-2 Nsp1 binding to human ribosomal 40S complex. BCB 2021: 22:1-22:6 - Shravani Bobde, Fahad Alsaab, Guangshun Wang, Monique L. van Hoek:
Designing novel antimicrobial peptides against multi-drug resistant bacteria. BCB 2021: 78:1 - Priyankar Bose, William C. Sleeman IV, Khajamoinuddin Syed, Michael Hagan, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh:
Deep neural network models to automate incident triage in the radiation oncology incident learning system. BCB 2021: 51:1-51:10 - Lodewijk Brand, Lauren Zoe Baker, Hua Wang:
A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19. BCB 2021: 44:1-44:6 - Martha Rebeca Canales-Fiscal, Rocío Ortiz López, Regina Barzilay, Victor Treviño, Servando Cardona-Huerta, Luis Javier Ramírez-Treviño, Adam Yala, José G. Tamez-Peña:
COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers. BCB 2021: 34:1-34:5 - Caroline Cannistra, Alex Yuan, Wenying Shou:
Inferring interaction networks from microbial time series data: it's not just finding a statistic. BCB 2021: 75:1 - Cheng Chen, Stephen K. Grady, Sally R. Ellingson, Michael A. Langston:
Gene-disease-drug link prediction using tripartite graphs. BCB 2021: 76:1
