Peter K. Sorger
Orcid: 0000-0002-3364-1838
According to our database1,
Peter K. Sorger
authored at least 33 papers
between 2004 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Vis. Comput. Graph., January, 2025
2024
IEEE Trans. Vis. Comput. Graph., January, 2024
SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data.
J. Open Source Softw., 2024
psudo: Exploring Multi-Channel Biomedical Image Data with Spatially and Perceptually Optimized Pseudocoloring.
Comput. Graph. Forum, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Hybrid Structure-Based Machine Learning Approach for Predicting Kinase Inhibition by Small Molecules.
J. Chem. Inf. Model., September, 2023
Correction: Paired evaluation of machine-learning models characterizes effects of confounders and outliers.
Patterns, August, 2023
Paired evaluation of machine-learning models characterizes effects of confounders and outliers.
Patterns, August, 2023
IEEE Trans. Vis. Comput. Graph., 2023
2022
Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data.
IEEE Trans. Vis. Comput. Graph., 2022
Fides: Reliable trust-region optimization for parameter estimation of ordinary differential equation models.
PLoS Comput. Biol., 2022
Stitching and registering highly multiplexed whole-slide images of tissues and tumors using ASHLAR.
Bioinform., 2022
2021
The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases.
Nucleic Acids Res., 2021
A Crisis-Responsive Framework for Medical Device Development Applied to the COVID-19 Pandemic.
Frontiers Digit. Health, 2021
2020
Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data.
IEEE Trans. Vis. Comput. Graph., 2020
J. Open Source Softw., 2020
Channel Embedding for Informative Protein Identification from Highly Multiplexed Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Inferring reaction network structure from single-cell, multiplex data, using toric systems theory.
PLoS Comput. Biol., 2019
INDRA-IPM: interactive pathway modeling using natural language with automated assembly.
Bioinform., 2019
2018
FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text mining.
BMC Bioinform., 2018
2014
LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures.
Nucleic Acids Res., 2014
2013
Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE).
Bioinform., 2013
2012
Exploring the Contextual Sensitivity of Factors that Determine Cell-to-Cell Variability in Receptor-Mediated Apoptosis.
PLoS Comput. Biol., 2012
Creating and analyzing pathway and protein interaction compendia for modelling signal transduction networks.
BMC Syst. Biol., 2012
2011
Training Signaling Pathway Maps to Biochemical Data with Constrained Fuzzy Logic: Quantitative Analysis of Liver Cell Responses to Inflammatory Stimuli.
PLoS Comput. Biol., 2011
2010
2009
The Logic of EGFR/ErbB Signaling: Theoretical Properties and Analysis of High-Throughput Data.
PLoS Comput. Biol., 2009
Fuzzy Logic Analysis of Kinase Pathway Crosstalk in TNF/EGF/Insulin-Induced Signaling.
PLoS Comput. Biol., 2009
2008
Flexible informatics for linking experimental data to mathematical models via <i>DataRail</i>.
Bioinform., 2008
Modeling pro-death signaling pathways in cancer hepatocytes using multi-combinatorial treatments of inhibitors and stimuli.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008
2007
Bioinform., 2007
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2004
Cue-Signal-Response Analysis of TNF-Induced Apoptosis by Partial Least Squares Regression of Dynamic Multivariate Data.
J. Comput. Biol., 2004