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Brock C. Christensen
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2020 – today
- 2024
- [j11]Michael Y. Fatemi, Yunrui Lu, Alos Diallo
, Gokul Srinivasan, Zarif L. Azher, Brock C. Christensen, Lucas A. Salas
An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology. Briefings Bioinform. 25(6) (2024) - 2023
- [j10]Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication. BioData Min. 16(1) (2023) - 2022
- [c7]Ramya Reddy, Ram Reddy, Cyril Sharma, Christopher R. Jackson, Scott Palisoul, Rachael Barney, Fred Kolling, Lucas A. Salas, Brock C. Christensen, Gabriel Brooks, Gregory Tsongalis, Louis J. Vaickus, Joshua J. Levy:
Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images. GeoMedIA 2022: 15-33 - [c6]Zarif L. Azher
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction. SAC 2022: 636-644 - 2021
- [c5]Joshua J. Levy, Christian Haudenschild, Clark Barwick, Brock C. Christensen, Louis J. Vaickus:
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks. PSB 2021 - 2020
- [j9]Joshua J. Levy
MethylNet: an automated and modular deep learning approach for DNA methylation analysis. BMC Bioinform. 21(1): 108 (2020) - [c4]Joshua J. Levy
Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center. BIOINFORMATICS 2020: 302-311 - [c3]Joshua J. Levy, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, Louis J. Vaickus:
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology. PSB 2020: 403-414 - [i1]Joshua J. Levy
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails. CoRR abs/2003.08750 (2020)
2010 – 2019
- 2019
- [j8]Joshua J. Levy
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data. Bioinform. 35(24): 5379-5381 (2019) - 2018
- [c2]Alexander J. Titus
A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation. BIOINFORMATICS 2018: 140-145 - 2016
- [j7]Eugene Andres Houseman, Kevin C. Johnson, Brock C. Christensen:
OxyBS: estimation of 5-methylcytosine and 5-hydroxymethylcytosine from tandem-treated oxidative bisulfite and bisulfite DNA. Bioinform. 32(16): 2505-2507 (2016) - [j6]Alexander J. Titus
methyLiftover: cross-platform DNA methylation data integration. Bioinform. 32(16): 2517-2519 (2016) - [j5]Devin C. Koestler
Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL). BMC Bioinform. 17: 120 (2016) - 2012
- [j4]Eugene Andres Houseman
DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinform. 13: 86 (2012) - 2010
- [j3]Devin C. Koestler
Semi-supervised recursively partitioned mixture models for identifying cancer subtypes. Bioinform. 26(20): 2578-2585 (2010)
2000 – 2009
- 2009
- [j2]Eugene Andres Houseman
Copy number variation has little impact on bead-array-based measures of DNA methylation. Bioinform. 25(16): 1999-2005 (2009) - 2008
- [j1]Eugene Andres Houseman
Model-based clustering of DNA methylation array data: a recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions. BMC Bioinform. 9 (2008) - [c1]Yuanyuan Xiao, Mark R. Segal, Eugene Andres Houseman, Joseph Wiemels, John K. Wiencke, Shichun Zheng, Margaret R. Wrensch, Brock C. Christensen, Carmen J. Marsit, Karl T. Kelsey, Heather H. Nelson
Analysis of High-throughput DNA Methylation Bead Arrays Utilizing Bayesian Genotyping Algorithms. BMEI (1) 2008: 447-452
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