Predrag Radivojac

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Randy J. Arnold

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Publications

2015
[c19]
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Chao Ji, Yong Fuga Li, Earl P. Bellinger, Sujun Li, Randy J. Arnold, Predrag Radivojac, Haixu Tang:
A maximum-likelihood approach to absolute protein quantification in mass spectrometry. BCB 2015: 296-305
2013
[c16]
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  - conf/bcb/LiATR13
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Sujun Li, Randy J. Arnold, Haixu Tang, Predrag Radivojac:
Improving phosphopeptide identification in shotgun proteomics by supervised filtering of peptide-spectrum matches. BCB 2013: 316
2009
[j11]
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  - journals/jcb/LiALRST09
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Yong Fuga Li, Randy J. Arnold, Yixue Li, Predrag Radivojac, Quanhu Sheng, Haixu Tang:
A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics. J. Comput. Biol. 16(8): 1183-1193 (2009)
2008
[j9]
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  - journals/bioinformatics/AlvesACLRSTXZR08
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Pedro Alves, Randy J. Arnold, David E. Clemmer, Yixue Li, James P. Reilly, Quanhu Sheng, Haixu Tang, Zhiyin Xun, Rong Zeng, Predrag Radivojac:
Fast and accurate identification of semi-tryptic peptides in shotgun proteomics. Bioinform. 24(1): 102-109 (2008)
[c11]
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  - conf/recomb/LiALRST08
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Yong Fuga Li, Randy J. Arnold, Yixue Li, Predrag Radivojac, Quanhu Sheng, Haixu Tang:
A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics. RECOMB 2008: 167-180
2007
[c9]
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  - electronic edition @ stanford.edu (open access)
  - no references & citations available
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  - conf/psb/AlvesANRRT07
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Pedro Alves, Randy J. Arnold, Milos V. Novotny, Predrag Radivojac, James P. Reilly, Haixu Tang:
Advancement in Protein Inference from Shotgun Proteomics Using Peptide Detectability. Pacific Symposium on Biocomputing 2007: 409-420
2006
[c8]
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  - conf/ismb/TangAAXCNRR06
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Haixu Tang, Randy J. Arnold, Pedro Alves, Zhiyin Xun, David E. Clemmer, Milos V. Novotny, James P. Reilly, Predrag Radivojac:
A computational approach toward label-free protein quantification using predicted peptide detectability. ISMB (Supplement of Bioinformatics) 2006: 481-488
[c7]
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  - electronic edition @ stanford.edu (open access)
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  - conf/psb/ArnoldJATR06
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Randy J. Arnold, Narmada Jayasankar, Divya Aggarwal, Haixu Tang, Predrag Radivojac:
A Machine Learning Approach to Predicting Peptide Fragmentation Spectra. Pacific Symposium on Biocomputing 2006: 219-230

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