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Publication search results
found 87 matches
- 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 - Russell B. Davidson, Mathialakan Thavappiragasam, T. Chad Effler, Jess Woods, Dwayne A. Elias, Jerry M. Parks, Ada Sedova:
Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement. BCB 2021: 21:1-21:10 - Shayom Debopadhaya, John S. Erickson, Kristin P. Bennett:
Temporal analysis of social determinants associated with COVID-19 mortality. BCB 2021: 41:1-41:10 - Yuhan Du, Anthony R. Rafferty, Fionnuala M. McAuliffe, Catherine Mooney:
Explaining large-for-gestational-age births: a random forest classifier with a novel local interpretation method. BCB 2021: 64:1 - Bradley Feiger, Erick Lorenzana, David Ranney, Muath Bishawi, Julie Doberne, Andrew Vekstein, Soraya Voigt, G. Chad Hughes, Amanda Randles:
Predicting aneurysmal degeneration of type B aortic dissection with computational fluid dynamics. BCB 2021: 13:1-13:6 - Alice Feng:
Using electronic health records to accurately predict COVID-19 health outcomes through a novel machine learning pipeline. BCB 2021: 61:1 - Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun:
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB 2021: 27:1-27:10 - Kenji Fujimoto, Tsubasa Mizugaki, Utkrisht Rajkumar, Hironori Shigeta, Shigeto Seno, Yutaka Uchida, Masaru Ishii, Vineet Bafna, Hideo Matsuda:
A CNN-based cell tracking method for multi-slice intravital imaging data. BCB 2021: 35:1-35:7 - Meijun Gao, Kevin J. Liu:
Statistical analysis of GC-biased gene conversion and recombination hotspots in eukaryotic genomes: a phylogenetic hidden Markov model-based approach. BCB 2021: 15:1-15:24 - Anuj Godase, Md. Khaledur Rahman, Ariful Azad:
GNNfam: utilizing sparsity in protein family predictions using graph neural networks. BCB 2021: 37:1-37:10 - Sara Nouri Golmaei, Xiao Luo:
DeepNote-GNN: predicting hospital readmission using clinical notes and patient network. BCB 2021: 19:1-19:9 - Hannah Guan:
The genetics of human aging: predicting age and age-related diseases by deep mining high dimensional biomarker data. BCB 2021: 79:1 - Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti:
Concurrent imputation and prediction on EHR data using bi-directional GANs: Bi-GANs for EHR imputation and prediction. BCB 2021: 7:1-7:9 - Riya Gupta, Aditya M. Rao, Lara Murphy Jones, Purvesh Khatri:
Formulating a gene signature for diagnosis of autoimmune and infectious diseases. BCB 2021: 68:1 - Marie Hoffmann, Michael T. Monaghan, Knut Reinert:
PriSeT: efficient de novo primer discovery. BCB 2021: 2:1-2:12 - Seoungdeok Jeon, Zachary Colburn, Joshua Sakai, Ling-Hong Hung, Ka Yee Yeung:
Application of natural language processing and machine learning to radiology reports. BCB 2021: 67:1
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