- Roger A. Hallman
, Anjali Chikkula, Temiloluwa Prioleau:
Predicting Criticality in COVID-19 Patients. BCB 2020: 46:1-46:7 - Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang:
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. BCB 2020: 42:1-42:10 - Ali Jazayeri, Sara Pajouhanfar, Sadaf Saba, Christopher C. Yang:
Modularity Analysis of Bipartite Networks and Multivariate ANOVA for Identification of Differentially Expressed Proteins in a Mouse Model of Down Syndrome. BCB 2020: 3:1-3:8 - Yixing Jiang, Kristen Alford, Frank Ketchum, Li Tong, May D. Wang:
TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction. BCB 2020: 23:1-23:10 - Tim Kosfeld, Jonathan McMillan, Richard J. DiPaolo, Jie Hou, Tae-Hyuk Ahn:
Performance Evaluation of Viral Infection Diagnosis using T-Cell Receptor Sequence and Artificial Intelligence. BCB 2020: 35:1-35:10 - Spencer Krieger, John D. Kececioglu:
Predicting protein secondary structure by an ensemble through feature-based accuracy estimation. BCB 2020: 29:1-29:10 - Spencer Krieger, John D. Kececioglu:
Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization. BCB 2020: 30:1 - Mengmeng Kuang, Hing-Fung Ting:
A data-centric pipeline using convolutional neural network to select better multiple sequence alignment method. BCB 2020: 72:1 - Scott LeGrand, Aaron Scheinberg, Andreas F. Tillack, Mathialakan Thavappiragasam, Josh Vincent Vermaas, Rupesh Agarwal, Jeff Larkin, Duncan Poole, Diogo Santos-Martins, Leonardo Solis-Vasquez, Andreas Koch, Stefano Forli, Oscar R. Hernandez, Jeremy C. Smith, Ada Sedova:
GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research. BCB 2020: 43:1-43:10 - Yue Li, Pratheeksha Nair, Zhi Wen, Imane Chafi, Anya Okhmatovskaia, Guido Powell, Yannan Shen, David L. Buckeridge:
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model. BCB 2020: 34:1-34:14 - Lucas Jing Liu, Hongwei Zhang, Jianzhong Di, Jin Chen:
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values. BCB 2020: 55:1-55:10 - Mercè Llabrés, Francesc Rosselló, Gabriel Valiente:
A Generalized Robinson-Foulds Distance for Clonal Trees, Mutation Trees, and Phylogenetic Trees and Networks. BCB 2020: 13:1-13:10 - Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch:
Staging Epileptogenesis with Deep Neural Networks. BCB 2020: 60:1-60:10 - Keith Mitchell, Jaqueline J. Brito, Igor Mandric, Qiaozhen Wu, Sergey Knyazev, Sei Chang, Lana S. Martin, Aaron Karlsberg, Ekaterina Gerasimov, Russell Littman, Brian L. Hill, Nicholas C. Wu, Harry (Taegyun) Yang, Kevin Hsieh, Linus Chen, Eli Littman, Taylor Shabani, German Enik, Douglas Yao, Ren Sun, Jan Schroeder, Eleazar Eskin, Alex Zelikovsky, Pavel Skums, Mihai Pop, Serghei Mangul:
Benchmarking of computational error-correction methods for next-generation sequencing data. BCB 2020: 63:1 - Abhijit Mondal, Misagh Kordi, Mukul S. Bansal:
A Supervised Machine Learning Approach for Distinguishing Between Additive and Replacing Horizontal Gene Transfers. BCB 2020: 16:1-16:11 - Yassin Mreyoud, Tae-Hyuk Ahn:
Deep Neural Network Modeling for Phenotypic Prediction of Metagenomic Samples. BCB 2020: 77:1 - Ananthan Nambiar, Maeve Heflin, Simon Liu, Sergei Maslov, Mark Hopkins, Anna M. Ritz:
Transforming the Language of Life: Transformer Neural Networks for Protein Prediction Tasks. BCB 2020: 5:1-5:8 - Ronald J. Nowling, Christopher R. Beal, Scott J. Emrich, Susanta K. Behura, Marc S. Halfon, Molly Duman-Scheel:
PeakMatcher: Matching Peaks Across Genome Assemblies. BCB 2020: 70:1 - Ronald J. Nowling, Rafael Reple Geromel, Benjamin Halligan:
Filtering STARR-Seq Peaks for Enhancers with Sequence Models. BCB 2020: 69:1 - Gulden Olgun, Öznur Tastan:
Functional Enrichment Analysis of Deregulated Long Non-Coding RNAs in Cancer Based on their Genomic Neighbors. BCB 2020: 9:1-9:10 - David Oniani, Yanshan Wang:
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. BCB 2020: 33:1-33:9 - Katie L. Ovens, B. Frank Eames, Ian McQuillan:
The impact of sample size and tissue type on the reproducibility of gene co-expression networks. BCB 2020: 12:1-12:10 - Niharika Pandala, Casey A. Cole, Devaun McFarland, Anita Nag, Homayoun Valafar:
A Preliminary Investigation in the Molecular Basis of Host Shutoff Mechanism in SARS-CoV. BCB 2020: 32:1-32:9 - Akanksha Pandey, Edward L. Braun:
Protein evolution is structure dependent and non-homogeneous across the tree of life. BCB 2020: 28:1-28:11 - Aditya Pratapa, Amogh P. Jalihal, Jeffrey N. Law, Aditya Bharadwaj, T. M. Murali:
How to build regulatory networks from single-cell gene expression data. BCB 2020: 11:1 - Gabriel A. Preising, Joshua J. Faber-Hammond, Suzy C. P. Renn, Anna M. Ritz:
A Protein-Protein Interactome for an African Cichlid. BCB 2020: 84:1 - Elham Rastegari, Donovan Orn, Hesham H. Ali:
Smart Computational Approaches with Advanced Feature Selection Algorithms for Optimizing the Classification of Mobility Data in Health Informatics. BCB 2020: 58:1-58:9 - Allison M. Rossetto, Wenjin Zhou:
GANDALF: Peptide Generation for Drug Design using Sequential and Structural Generative Adversarial Networks. BCB 2020: 45:1-45:10 - Allison M. Rossetto, Wenjin Zhou:
Novel Generated Peptides for COVID-19 Targets. BCB 2020: 86:1 - Fatemeh Rouzbeh, Ananth Grama, Paul M. Griffin, Mohammad Adibuzzaman:
Collaborative Cloud Computing Framework for Health Data with Open Source Technologies. BCB 2020: 48:1-48:10
