Statistical characterization of a 1D random potential problem—With applications in score statistics of MS-based peptide sequencing

Gelio Alves and Yi-Kuo Yu

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 26, 6538-6544

Abstract: We provide a complete thermodynamic solution of a 1D hopping model in the presence of a random potential by obtaining the density of states. Since the partition function is related to the density of states by a Laplace transform, the density of states determines completely the thermodynamic behavior of the system. We have also shown that the transfer matrix technique, or the so-called dynamic programming, used to obtain the density of states in the 1D hopping model may be generalized to tackle a long-standing problem in statistical significance assessment for one of the most important proteomic tasks—peptide sequencing using tandem mass spectrometry data.

Keywords: Statistical significance; Dynamic programming; Mass spectrometry; Directed paths in random media; Peptide identification (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:26:p:6538-6544

DOI: 10.1016/j.physa.2008.08.024

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