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Oliver Serang

Showing results (1-10 of 23) with videos related to

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Bioinformatics (Oxford, England)|November 30, 2012
Concerning the accuracy of Fido and parameter choiceOliver Serang
Plos One|March 15, 2014
The probabilistic convolution tree: efficient exact Bayesian inference for faster LC-MS/MS protein inferenceOliver Serang
Plos One|September 7, 2012
Conic sampling: an efficient method for solving linear and quadratic programming by randomly linking constraints within the interiorOliver Serang
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 11, 2015
A Fast Numerical Method for Max-Convolution and the Application to Efficient Max-Product Inference in Bayesian NetworksOliver Serang
Peerj. Computer Science|May 20, 2021
Optimally selecting the top <i>k</i> values from <i>X</i> + <i>Y</i> with layer-ordered heapsOliver Serang
Journal of Proteome Research|August 11, 2015
Solution to Statistical Challenges in Proteomics Is More Statistics, Not LessOliver Serang, Lukas Käll
Methods in Molecular Biology (Clifton, N.J.)|November 7, 2014
Quantitative SNP genotyping of polyploids with MassARRAY and other platformsMarcelo Mollinari, Oliver Serang
Statistics and Its Interface|July 27, 2012
A review of statistical methods for protein identification using tandem mass spectrometryOliver Serang, William Noble
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 15, 2012
Faster mass spectrometry-based protein inference: junction trees are more efficient than sampling and marginalization by enumerationOliver Serang, William Stafford Noble
Analytical Chemistry|July 15, 2020
Fast Exact Computation of the <i>k</i> Most Abundant Isotope Peaks with Layer-Ordered HeapsPatrick Kreitzberg, Jake Pennington, Kyle Lucke, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|November 30, 2012
Concerning the accuracy of Fido and parameter choiceOliver Serang
Plos One|March 15, 2014
The probabilistic convolution tree: efficient exact Bayesian inference for faster LC-MS/MS protein inferenceOliver Serang
Plos One|September 7, 2012
Conic sampling: an efficient method for solving linear and quadratic programming by randomly linking constraints within the interiorOliver Serang
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 11, 2015
A Fast Numerical Method for Max-Convolution and the Application to Efficient Max-Product Inference in Bayesian NetworksOliver Serang
Peerj. Computer Science|May 20, 2021
Optimally selecting the top <i>k</i> values from <i>X</i> + <i>Y</i> with layer-ordered heapsOliver Serang
Journal of Proteome Research|August 11, 2015
Solution to Statistical Challenges in Proteomics Is More Statistics, Not LessOliver Serang, Lukas Käll
Methods in Molecular Biology (Clifton, N.J.)|November 7, 2014
Quantitative SNP genotyping of polyploids with MassARRAY and other platformsMarcelo Mollinari, Oliver Serang
Statistics and Its Interface|July 27, 2012
A review of statistical methods for protein identification using tandem mass spectrometryOliver Serang, William Noble
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 15, 2012
Faster mass spectrometry-based protein inference: junction trees are more efficient than sampling and marginalization by enumerationOliver Serang, William Stafford Noble
Analytical Chemistry|July 15, 2020
Fast Exact Computation of the <i>k</i> Most Abundant Isotope Peaks with Layer-Ordered HeapsPatrick Kreitzberg, Jake Pennington, Kyle Lucke, et al.
Pageof 3