Name
Affiliation
Papers
PAUL SPELLMAN
oregon health science university
23
Collaborators
Citations 
PageRank 
87
453
43.25
Referers 
Referees 
References 
1644
610
287
Search Limit
1001000
Title
Citations
PageRank
Year
Predictive Sparse Morphometric Context For Classification Of Histology Sections00.342015
Stacked Predictive Sparse Decomposition for Classification of Histology Sections100.622015
Classification of Histology Sections via Multispectral Convolutional Sparse Coding.310.912014
Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association.291.232013
CLASSIFICATION OF TUMOR HISTOPATHOLOGY VIA SPARSE FEATURE LEARNING.180.842013
Characterization of tissue histopathology via predictive sparse decomposition and spatial pyramid matching.160.682013
Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology110.592013
Methods and challenges in timing chromosomal abnormalities within cancer samples.30.452013
Classification of Tumor Histology via Morphometric Context.170.842013
Multireference level set for the characterization of nuclear morphology in glioblastoma multiforme.90.722012
Bayesian Inference of Signaling Network Topology in a Cancer Cell Line190.832012
Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology.60.452012
Batch-invariant nuclear segmentation in whole mount histology sections50.492012
Morphometic analysis of TCGA glioblastoma multiforme.210.882011
Parent-specific copy number in paired tumor–normal studies using circular binary segmentation100.792011
Comparison Of Sparse Coding And Kernel Methods For Histopathological Classification Of Gliobastoma Multiforme110.702011
Prediction of epigenetically regulated genes in breast cancer cell lines40.432010
GenomeGraphs: integrated genomic data visualization with R.295.442009
Sparse combinatorial inference with an application in cancer biology.90.752009
A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB849.672006
An open letter to the scientific journals52.622002
The Stanford Microarray Database10612.642001
Editorial: The Future of Publishing Microarray Data00.342001