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ORCIDRandy J. Arnold
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2010 – 2019
- 2015
[c6]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
- [c5]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
2000 – 2009
- 2009
- [j2]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
- [j1]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) - [c4]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
- [c3]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
- [c2]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 - [c1]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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