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Yoav Freund

Showing results (1-10 of 15) with videos related to

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Acta Crystallographica. Section D, Biological Crystallography|November 20, 2008
Image-based crystal detection: a machine-learning approachRoy Liu, Yoav Freund, Glen Spraggon
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 27, 2011
An online learning approach to occlusion boundary detectionNatan Jacobson, Yoav Freund, Truong Q Nguyen
Bioinformatics (Oxford, England)|July 21, 2004
Predicting genetic regulatory response using classificationManuel Middendorf, Anshul Kundaje, Chris Wiggins, et al.
BMC Bioinformatics|March 31, 2006
Identifying metabolic enzymes with multiple types of association evidencePeter Kharchenko, Lifeng Chen, Yoav Freund, et al.
Biorxiv : the Preprint Server for Biology|January 31, 2024
CellBoost: A pipeline for machine assisted annotation in NeuroanatomyKui Qian, Beth Friedman, Jun Takatoh, et al.
BMC Bioinformatics|June 30, 2009
ResBoost: characterizing and predicting catalytic residues in enzymesRon Alterovitz, Aaron Arvey, Sriram Sankararaman, et al.
Current Biology : CB|November 26, 2009
Visualization of individual Scr mRNAs during Drosophila embryogenesis yields evidence for transcriptional burstingAdam Paré, Derek Lemons, Dave Kosman, et al.
Nucleic Acids Research|February 19, 2010
Minimizing off-target signals in RNA fluorescent in situ hybridizationAaron Arvey, Anita Hermann, Cheryl C Hsia, et al.
BMC Bioinformatics|May 26, 2006
A classification-based framework for predicting and analyzing gene regulatory responseAnshul Kundaje, Manuel Middendorf, Mihir Shah, et al.
Journal of Bioinformatics and Computational Biology|August 19, 2005
Profile-based string kernels for remote homology detection and motif extractionRui Kuang, Eugene Ie, Ke Wang, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Acta Crystallographica. Section D, Biological Crystallography|November 20, 2008
Image-based crystal detection: a machine-learning approachRoy Liu, Yoav Freund, Glen Spraggon
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 27, 2011
An online learning approach to occlusion boundary detectionNatan Jacobson, Yoav Freund, Truong Q Nguyen
Bioinformatics (Oxford, England)|July 21, 2004
Predicting genetic regulatory response using classificationManuel Middendorf, Anshul Kundaje, Chris Wiggins, et al.
BMC Bioinformatics|March 31, 2006
Identifying metabolic enzymes with multiple types of association evidencePeter Kharchenko, Lifeng Chen, Yoav Freund, et al.
Biorxiv : the Preprint Server for Biology|January 31, 2024
CellBoost: A pipeline for machine assisted annotation in NeuroanatomyKui Qian, Beth Friedman, Jun Takatoh, et al.
BMC Bioinformatics|June 30, 2009
ResBoost: characterizing and predicting catalytic residues in enzymesRon Alterovitz, Aaron Arvey, Sriram Sankararaman, et al.
Current Biology : CB|November 26, 2009
Visualization of individual Scr mRNAs during Drosophila embryogenesis yields evidence for transcriptional burstingAdam Paré, Derek Lemons, Dave Kosman, et al.
Nucleic Acids Research|February 19, 2010
Minimizing off-target signals in RNA fluorescent in situ hybridizationAaron Arvey, Anita Hermann, Cheryl C Hsia, et al.
BMC Bioinformatics|May 26, 2006
A classification-based framework for predicting and analyzing gene regulatory responseAnshul Kundaje, Manuel Middendorf, Mihir Shah, et al.
Journal of Bioinformatics and Computational Biology|August 19, 2005
Profile-based string kernels for remote homology detection and motif extractionRui Kuang, Eugene Ie, Ke Wang, et al.
Pageof 2