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Quantitative Biology > Quantitative Methods

arXiv:0806.1988 (q-bio)
[Submitted on 12 Jun 2008]

Title:Statistical Characterization of a 1D Random Potential Problem - with applications in score statistics of MS-based peptide sequencing

Authors:Gelio Alves, Yi-Kuo Yu
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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.
Comments: 14 pages, 1 figure
Subjects: Quantitative Methods (q-bio.QM)
Cite as: arXiv:0806.1988 [q-bio.QM]
  (or arXiv:0806.1988v1 [q-bio.QM] for this version)
  https://doi.org/10.48550/arXiv.0806.1988
Related DOI: https://doi.org/10.1016/j.physa.2008.08.024

Submission history

From: Yi-Kuo Yu [view email]
[v1] Thu, 12 Jun 2008 02:50:51 UTC (39 KB)
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