Bruce J. Aronow

According to our database, Bruce J. Aronow authored at least 34 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data.

Riku Nakagaki, Shyam Sundar Debsarkar, Hiroharu Kawanaka, Bruce J. Aronow, V. B. Surya Prasath

Comput. Biol. Medicine, 2024

2023

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes

J. Biomed. Informatics, March, 2023

2022

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.

Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber

npj Digit. Medicine, 2022

Data Augmentation Using Generative Adversarial Networks for Multi-Class Segmentation of Lung Confocal IF Images.

Daiki Katsuma, Hiroharu Kawanaka, V. B. Surya Prasath, Bruce J. Aronow

J. Adv. Comput. Intell. Intell. Informatics, 2022

CellDrift: inferring perturbation responses in temporally sampled single-cell data.

Kang Jin, Daniel J. Schnell, Guangyuan Li, Nathan Salomonis, V. B. Surya Prasath, Rhonda Szczesniak, Bruce J. Aronow

Briefings Bioinform., 2022

2021

Ontology-guided segmentation and object identification for developmental mouse lung immunofluorescent images.

Anna Maria Masci, Scott White, Ben Neely, Maryanne Ardini-Polaske, Carol B. Hill, Ravi S. Misra, Bruce J. Aronow, Nathan Gaddis, Lina Yang, Susan E. Wert, Scott M. Palmer, Cliburn Chan

BMC Bioinform., 2021

2019

Multi-Class Segmentation of Lung Immunofluorescence Confocal Images Using Deep Learning.

Shu Isaka, Hiroharu Kawanaka, Bruce J. Aronow, V. B. Surya Prasath

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Session Introduction.

Dana C. Crawford, Alexander A. Morgan, Joshua C. Denny, Bruce J. Aronow, Steven E. Brenner

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

Session Introduction.

Alexander A. Morgan, Dana C. Crawford, Joshua C. Denny, Sean D. Mooney, Bruce J. Aronow, Steven E. Brenner

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Improving the generalization of disease stage classification with deep CNN for Glioma histopathological images.

Asami Yonekura, Hiroharu Kawanaka, V. B. Surya Prasath, Bruce J. Aronow, Haruhiko Takase

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.

Andre Olsson, Meenakshi Venkatasubramanian, Viren K. Chaudhri, Bruce J. Aronow, Nathan Salomonis, Harinder Singh, H. Leighton Grimes

Nat., 2016

Session Introduction.

Alexander A. Morgan, Sean D. Mooney, Bruce J. Aronow, Steven E. Brenner

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

A Study on Nuclei Segmentation, Feature Extraction and Disease Stage Classification for Human Brain Histopathological Images.

Kiichi Fukuma, V. B. Surya Prasath, Hiroharu Kawanaka, Bruce J. Aronow, Haruhiko Takase

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

A study on feature extraction and disease stage classification for Glioma pathology images.

Kiichi Fukuma, V. B. Surya Prasath, Hiroharu Kawanaka, Bruce J. Aronow, Haruhiko Takase

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Feature extraction and disease stage classification for Glioma histopathology images.

Kiichi Fukuma, Hiroharu Kawanaka, V. B. Surya Prasath, Bruce J. Aronow, Haruhiko Takase

Proceedings of the 17th International Conference on E-health Networking, 2015

Cell nuclei segmentation in glioma histopathology images with color decomposition based active contours.

V. B. Surya Prasath, Kiichi Fukuma, Bruce J. Aronow, Hiroharu Kawanaka

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

ToppMiR: ranking microRNAs and their mRNA targets based on biological functions and context.

Chao Wu, Eric E. Bardes, Anil G. Jegga, Bruce J. Aronow

Nucleic Acids Res., 2014

The International Society of Computational Biology presents: the Great Lakes Bioinformatics Conference, May 16-18, 2014, Cincinnati, Ohio.

Jim Cavalcoli, Lonnie R. Welch, Bruce J. Aronow, Sorin Draghici, Daisuke Kihara

Bioinform., 2014

Comparative study on feature descriptors for brain image analysis.

Kazuhiko Tamaki, Kiichi Fukuma, Hiroharu Kawanaka, Haruhiko Takase, Shinji Tsuruoka, Bruce J. Aronow, Shikha Chaganti

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

2013

Computational drug repositioning through heterogeneous network clustering.

Chao Wu, Ranga Chandra Gudivada, Bruce J. Aronow, Anil G. Jegga

BMC Syst. Biol., 2013

A Biclustering Algorithm to Discover Functional Modules from ENCODE ChIP-Seq Data.

Chao Wu, Arjun Bakshi, Bruce J. Aronow, Anil G. Jegga, Raj Bhatnagar

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2010

PhenoHM: human-mouse comparative phenome-genome server.

Divya Sardana, Suresh Vasa, Nishanth Vepachedu, Jing Chen, Ranga Chandra Gudivada, Bruce J. Aronow, Anil G. Jegga

Nucleic Acids Res., 2010

ToppCluster: a multiple gene list feature analyzer for comparative enrichment clustering and network-based dissection of biological systems.

Vivek Kaimal, Eric E. Bardes, Scott C. Tabar, Anil G. Jegga, Bruce J. Aronow

Nucleic Acids Res., 2010

Integrating neighbor clustering, coexpression clustering and subsystems analysis to define dynamic changes in regulatory networks associated with group A streptococcal sociomicrobiology and niche adaptation.

Ramy K. Aziz, Bruce J. Aronow, William L. Taylor, Sarah Rowe, Rita Kansal, Mark J. Walker, Malak Kotb

BMC Bioinform., 2010

2009

ToppGene Suite for gene list enrichment analysis and candidate gene prioritization.

Jing Chen, Eric E. Bardes, Bruce J. Aronow, Anil G. Jegga

Nucleic Acids Res., 2009

Inferring novel disease indications for known drugs by semantically linking drug action and disease mechanism relationships.

Xiaoyan A. Qu, Ranga Chandra Gudivada, Anil G. Jegga, Eric K. Neumann, Bruce J. Aronow

BMC Bioinform., 2009

Correction: Disease candidate gene identification and prioritization using protein interaction networks.

Jing Chen, Bruce J. Aronow, Anil G. Jegga

BMC Bioinform., 2009

Disease candidate gene identification and prioritization using protein interaction networks.

Jing Chen, Bruce J. Aronow, Anil G. Jegga

BMC Bioinform., 2009

2008

Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge.

Ranga Chandra Gudivada, Xiaoyan A. Qu, Jing Chen, Anil G. Jegga, Eric K. Neumann, Bruce J. Aronow

J. Biomed. Informatics, 2008

2007

PolyDoms: a whole genome database for the identification of non-synonymous coding SNPs with the potential to impact disease.

Anil G. Jegga, Sivakumar Gowrisankar, Jing Chen, Bruce J. Aronow

Nucleic Acids Res., 2007

GenomeTrafac: a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs.

Anil G. Jegga, Jing Chen, Sivakumar Gowrisankar, Mrunal A. Deshmukh, Ranga Chandra Gudivada, Sue Kong, Vivek Kaimal, Bruce J. Aronow

Nucleic Acids Res., 2007

Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data.

Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan, Bruce J. Aronow, Mario Medvedovic

BMC Bioinform., 2007

Improved human disease candidate gene prioritization using mouse phenotype.

Jing Chen, Huan Xu, Bruce J. Aronow, Anil G. Jegga

BMC Bioinform., 2007

2005

CisMols Analyzer: identification of compositionally similar <i>cis</i>-element clusters in ortholog conserved regions of coordinately expressed genes.

Anil G. Jegga, Ashima Gupta, Sivakumar Gowrisankar, Mrunal A. Deshmukh, Steven Connolly, Kevin Finley, Bruce J. Aronow

Nucleic Acids Res., 2005