Paul T. Spellman

Orcid: 0000-0002-4810-0022

According to our database¹, Paul T. Spellman authored at least 32 papers between 2001 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2023

Author Correction: Supervised learning of high-confidence phenotypic subpopulations from single-cell data.

[BibT_eX]

[DOI]

Nat. Mac. Intell., June, 2023

Supervised learning of high-confidence phenotypic subpopulations from single-cell data.

[BibT_eX]

[DOI]

Nat. Mac. Intell., May, 2023

2021

Causal interactions from proteomic profiles: Molecular data meet pathway knowledge.

[BibT_eX]

[DOI]

Alvaro Sebastian Vaca Jacome

Ryan Peckner

Karen E. Christianson

Patterns, 2021

2020

The evolutionary history of 2,658 cancers.

[BibT_eX]

[DOI]

Ignacio Vázquez-García

Süleyman Cenk Sahinalp

Elizabeth L. Christie

Nat., 2020

2015

Stacked Predictive Sparse Decomposition for Classification of Histology Sections.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2015

Predictive sparse morphometric context for classification of histology sections.

[BibT_eX]

[DOI]

Hang Chang

Paul T. Spellman

Bahram Parvin

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Classification of Histology Sections via Multispectral Convolutional Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

Methods and challenges in timing chromosomal abnormalities within cancer samples.

[BibT_eX]

[DOI]

Bioinform., 2013

Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Classification of tumor histopathology via sparse feature learning.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Classification of Tumor Histology via Morphometric Context.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Multireference Level Set for the Characterization of Nuclear Morphology in Glioblastoma Multiforme.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2012

Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology.

[BibT_eX]

[DOI]

BMC Bioinform., 2012

Bayesian Inference of Signaling Network Topology in a Cancer Cell Line.

[BibT_eX]

[DOI]

Bioinform., 2012

Learning invariant features of tumor signatures.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Molecular bases of morphometric composition in Glioblastoma multiforme.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Batch-invariant nuclear segmentation in whole mount histology sections.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Morphometic analysis of TCGA glioblastoma multiforme.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

Parent-specific copy number in paired tumor-normal studies using circular binary segmentation.

[BibT_eX]

[DOI]

Venkatraman E. Seshan

Bioinform., 2011

Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Prediction of epigenetically regulated genes in breast cancer cell lines.

[BibT_eX]

[DOI]

Victoria E. H. Carlton

BMC Bioinform., 2010

2009

GenomeGraphs: integrated genomic data visualization with R.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

Sparse combinatorial inference with an application in cancer biology.

[BibT_eX]

[DOI]

Bioinform., 2009

A single-sample method for normalizing and combining full-resolution copy numbers from multiple platforms, labs and analysis methods.

[BibT_eX]

[DOI]

Bioinform., 2009

2007

Spectral Decomposition of Signaling Networks.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

2006

A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB.

[BibT_eX]

[DOI]

BMC Bioinform., 2006

2005

A Status Report on Mage.

[BibT_eX]

[DOI]

Paul T. Spellman

Bioinform., 2005

2002

An open letter to the scientific journals.

[BibT_eX]

[DOI]

Christian J. Stoeckert Jr.

Bioinform., 2002

2001

The Stanford Microarray Database.

[BibT_eX]

[DOI]

Gavin Sherlock

Tina Hernandez-Boussard

Nucleic Acids Res., 2001

Editorial: The Future of Publishing Microarray Data.

[BibT_eX]

[DOI]

Paul T. Spellman

Briefings Bioinform., 2001

Paul T. Spellman

Timeline

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On csauthors.net:

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