- 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 - Jonathan Karin, Hagai Michel, Yaron Orenstein:
MultiRBP: multi-task neural network for protein-RNA binding prediction. BCB 2021: 11:1-11:9 - Anwica Kashfeen, Leonard McMillan:
Frontier: finding the boundaries of novel transposable element insertions in genomes. BCB 2021: 14:1-14:10 - Bahá El Kassaby, Kunde Ramamoorthy Govindarajan, Francisco Castellanos, Carol Bult:
MVAR: a mouse variation registry. BCB 2021: 74:1 - Ziynet Nesibe Kesimoglu, Serdar Bozdag:
SUPREME: a cancer subtype prediction methodology integrating multiple biological datatypes using graph convolutional neural networks. BCB 2021: 83:1 - Natalia Khuri, Sarah Parsons:
A value-based approach for training of classifiers with high-throughput small molecule screening data. BCB 2021: 28:1-28:10 - Elizabeth R. Koning, Malachi Phillips, Tandy J. Warnow:
ppIacerDC: a new scalable phylogenetic placement method. BCB 2021: 3:1-3:9 - Sumesh Kumar, Fahad Saeed:
Real-time peptide identification from high-throughput mass-spectrometry data. BCB 2021: 86:1 - Jack Lanchantin, Tom Weingarten, Arshdeep Sekhon, Clint Miller, Yanjun Qi:
Transfer learning for predicting virus-host protein interactions for novel virus sequences. BCB 2021: 36:1-36:10 - Zican Li, Wooyoung Kim:
Investigating statistical analysis for network motifs. BCB 2021: 40:1-40:6 - Russell A. Li, Zhandong Liu:
A hybrid deep neural network for robust single-cell genome-wide DNA methylation detection. BCB 2021: 25:1-25:6 - Zhao Li, Rongbin Li, Kendall J. Kiser, Luca Giancardo, W. Jim Zheng:
Segmenting thoracic cavities with neoplastic lesions: a head-to-head benchmark with fully convolutional neural networks. BCB 2021: 33:1-33:8 - Zhuoyan Li, Sheng Wang:
HYPON: embedding biomedical ontology with entity sets. BCB 2021: 56:1-56:7 - Bingjun Li, Tianyu Wang, Sheida Nabavi:
Cancer molecular subtype classification by graph convolutional networks on multi-omics data. BCB 2021: 50:1-50:9 - Jinpeng Liu, Xinan Liu, Ye Yu, Chi Wang, Jinze Liu:
FastCount: a fast gene count software for single-cell RNA-seq data. BCB 2021: 23:1-23:8 - Lucas Jing Liu, Victor Ortiz-Soriano, Javier A. Neyra, Jin Chen:
KGDAL: knowledge graph guided double attention LSTM for rolling mortality prediction for AKI-D patients. BCB 2021: 53:1-53:10
