Brock C. Christensen
Orcid: 0000-0003-3022-426X
According to our database1,
Brock C. Christensen
authored at least 19 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
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., 2024
2023
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.
BioData Min., January, 2023
2022
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
2021
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
2020
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails.
CoRR, 2020
MethylNet: an automated and modular deep learning approach for DNA methylation analysis.
BMC Bioinform., 2020
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.
Bioinform., 2019
2018
A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
2016
Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL).
BMC Bioinform., 2016
OxyBS: estimation of 5-methylcytosine and 5-hydroxymethylcytosine from tandem-treated oxidative bisulfite and bisulfite DNA.
Bioinform., 2016
2012
BMC Bioinform., 2012
2010
Semi-supervised recursively partitioned mixture models for identifying cancer subtypes.
Bioinform., 2010
2009
Copy number variation has little impact on bead-array-based measures of DNA methylation.
Bioinform., 2009
2008
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., 2008
Analysis of High-throughput DNA Methylation Bead Arrays Utilizing Bayesian Genotyping Algorithms.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008