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Paul Spellman

Showing results (1-10 of 50) with videos related to

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Bioinformatics (Oxford, England)|August 24, 2005
A status report on MAGEPaul Spellman
Nature Medicine|April 9, 2011
A new treasure in the breast cancer gene huntPaul Spellman, Joe Gray
Proceedings. IEEE International Conference on Computer Vision|April 29, 2014
Stacked Predictive Sparse Coding for Classification of Distinct Regions of Tumor HistopathologyHang Chang, Yin Zhou, Paul Spellman, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|December 10, 2013
Classification of Tumor Histology via Morphometric ContextHang Chang, Alexander Borowsky, Paul Spellman, et al.
Omics : a Journal of Integrative Biology|August 12, 2006
FuGE: Functional Genomics Experiment Object ModelAndrew R Jones, Angel Pizarro, Paul Spellman, et al.
Bioinformatics (Oxford, England)|February 6, 2009
A single-sample method for normalizing and combining full-resolution copy numbers from multiple platforms, labs and analysis methodsHenrik Bengtsson, Amrita Ray, Paul Spellman, et al.
Plos One|April 8, 2015
A humanized leucine zipper-TRAIL hybrid induces apoptosis of tumors both in vitro and in vivoDmitri Rozanov, Paul Spellman, Alexei Savinov, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 10, 2013
CLASSIFICATION OF TUMOR HISTOPATHOLOGY VIA SPARSE FEATURE LEARNINGNandita Nayak, Hang Chang, Alexander Borowsky, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|January 3, 2015
Classification of Histology Sections via Multispectral Convolutional Sparse CodingYin Zhou, Hang Chang, Kenneth Barner, et al.
BMC Genomics|December 24, 2015
Non-random fragmentation patterns in circulating cell-free DNA reflect epigenetic regulationMaxim Ivanov, Ancha Baranova, Timothy Butler, et al.
Pageof 5

Showing results (1-10 of 50) with videos related to

Sort By:
Pageof 5
Bioinformatics (Oxford, England)|August 24, 2005
A status report on MAGEPaul Spellman
Nature Medicine|April 9, 2011
A new treasure in the breast cancer gene huntPaul Spellman, Joe Gray
Proceedings. IEEE International Conference on Computer Vision|April 29, 2014
Stacked Predictive Sparse Coding for Classification of Distinct Regions of Tumor HistopathologyHang Chang, Yin Zhou, Paul Spellman, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|December 10, 2013
Classification of Tumor Histology via Morphometric ContextHang Chang, Alexander Borowsky, Paul Spellman, et al.
Omics : a Journal of Integrative Biology|August 12, 2006
FuGE: Functional Genomics Experiment Object ModelAndrew R Jones, Angel Pizarro, Paul Spellman, et al.
Bioinformatics (Oxford, England)|February 6, 2009
A single-sample method for normalizing and combining full-resolution copy numbers from multiple platforms, labs and analysis methodsHenrik Bengtsson, Amrita Ray, Paul Spellman, et al.
Plos One|April 8, 2015
A humanized leucine zipper-TRAIL hybrid induces apoptosis of tumors both in vitro and in vivoDmitri Rozanov, Paul Spellman, Alexei Savinov, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 10, 2013
CLASSIFICATION OF TUMOR HISTOPATHOLOGY VIA SPARSE FEATURE LEARNINGNandita Nayak, Hang Chang, Alexander Borowsky, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|January 3, 2015
Classification of Histology Sections via Multispectral Convolutional Sparse CodingYin Zhou, Hang Chang, Kenneth Barner, et al.
BMC Genomics|December 24, 2015
Non-random fragmentation patterns in circulating cell-free DNA reflect epigenetic regulationMaxim Ivanov, Ancha Baranova, Timothy Butler, et al.
Pageof 5