Brock C. Christensen

20 papers Misc 3Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity.
BIOSTEC (1)
Michael Y. Fatemi, Yunrui Lu, Zarif L. Azher, Cyril Sharma, Eric Feng, Alos B. Diallo, Gokul Srinivasan, Grace M. Rosner, Kelli B. Pointer, Brock C. Christensen, Lucas A. Salas, Gregory J. Tsongalis, Scott M. Palisoul, Laurent Perreard, Frederick W. Kolling IV, Louis J. Vaickus, Joshua J. Levy
2024 J jnl
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.
Michael Y. Fatemi, Yunrui Lu, Alos B. Diallo, Gokul Srinivasan, Zarif L. Azher, Brock C. Christensen, Lucas A. Salas, Gregory J. Tsongalis, Scott Palisoul, Laurent Perreard, Frederick W. Kolling IV, Louis J. Vaickus, Joshua J. Levy
2023 J jnl
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.
BioData Min.
Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy
2022 Misc conf
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction.
SAC
Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy
2022 — conf
Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images.
GeoMedIA
Ramya Reddy, Ram Reddy, Cyril Sharma, Christopher R. Jackson, Scott Palisoul, Rachael Barney, Fred Kolling, Lucas A. Salas, Brock C. Christensen, Gabriel Brooks, Gregory J. Tsongalis, Louis J. Vaickus, Joshua J. Levy
2021 Misc conf
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks.
PSB
Joshua J. Levy, Christian Haudenschild, Clark Barwick, Brock C. Christensen, Louis J. Vaickus
2020 J jnl
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails.
CoRR
Joshua J. Levy, Rebecca M. Lebeaux, Anne G. Hoen, Brock C. Christensen, Louis J. Vaickus, Todd A. MacKenzie
2020 J jnl
MethylNet: an automated and modular deep learning approach for DNA methylation analysis.
BMC Bioinform.
Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen
2020 Misc conf
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology.
PSB
Joshua J. Levy, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, Louis J. Vaickus
2020 — conf
Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center.
BIOINFORMATICS
Joshua J. Levy, Christopher R. Jackson, Aravindhan Sriharan, Brock C. Christensen, Louis J. Vaickus
2019 J jnl
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.
Bioinform.
Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen
2018 — conf
A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation.
BIOINFORMATICS
Alexander J. Titus, Carly A. Bobak, Brock C. Christensen
2016 J jnl
Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL).
BMC Bioinform.
Devin C. Koestler, Meaghan J. Jones, Joseph Usset, Brock C. Christensen, Rondi A. Butler, Michael S. Kobor, John K. Wiencke, Karl T. Kelsey
2016 J jnl
OxyBS: estimation of 5-methylcytosine and 5-hydroxymethylcytosine from tandem-treated oxidative bisulfite and bisulfite DNA.
Bioinform.
Eugene Andres Houseman, Kevin C. Johnson, Brock C. Christensen
2016 J jnl
methyLiftover: cross-platform DNA methylation data integration.
Bioinform.
Alexander J. Titus, Eugene Andres Houseman, Kevin C. Johnson, Brock C. Christensen
2012 J jnl
DNA methylation arrays as surrogate measures of cell mixture distribution.
BMC Bioinform.
Eugene Andres Houseman, William P. Accomando, Devin C. Koestler, Brock C. Christensen, Carmen J. Marsit, Heather H. Nelson, John K. Wiencke, Karl T. Kelsey
2010 J jnl
Semi-supervised recursively partitioned mixture models for identifying cancer subtypes.
Bioinform.
Devin C. Koestler, Carmen J. Marsit, Brock C. Christensen, Margaret R. Karagas, Raphael Bueno, David J. Sugarbaker, Karl T. Kelsey, Eugene Andres Houseman
2009 J jnl
Copy number variation has little impact on bead-array-based measures of DNA methylation.
Bioinform.
Eugene Andres Houseman, Brock C. Christensen, Margaret R. Karagas, Margaret R. Wrensch, Heather H. Nelson, Joseph Wiemels, Shichun Zheng, John K. Wiencke, Karl T. Kelsey, Carmen J. Marsit
2008 — conf
Analysis of High-throughput DNA Methylation Bead Arrays Utilizing Bayesian Genotyping Algorithms.
BMEI (1)
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, Margaret R. Karagas, Ru-Fang Yeh
2008 J jnl
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.
Eugene Andres Houseman, Brock C. Christensen, Ru-Fang Yeh, Carmen J. Marsit, Margaret R. Karagas, Margaret R. Wrensch, Heather H. Nelson, Joseph Wiemels, Shichun Zheng, John K. Wiencke, Karl T. Kelsey