English

Generalized Gapped-kmer Filters for Robust Frequency Estimation

Discrete Mathematics 2021-02-23 v1

Abstract

In this paper, we study the generalized gapped k-mer filters and derive a closed form solution for their coefficients. We consider nonnegative integers \ell and kk, with kk\leq \ell, and an \ell-tuple B=(b1,,b)B=(b_1,\ldots,b_{\ell}) of integers bi2b_i\geq 2, i=1,,i=1,\ldots,\ell. We introduce and study an incidence matrix A=A,k;BA=A_{\ell,k;B}. We develop a M\"obius-like function νB\nu_B which helps us to obtain closed forms for a complete set of mutually orthogonal eigenvectors of AAA^{\top} A as well as a complete set of mutually orthogonal eigenvectors of AAAA^{\top} corresponding to nonzero eigenvalues. The reduced singular value decomposition of AA and combinatorial interpretations for the nullity and rank of AA, are among the consequences of this approach. We then combine the obtained formulas, some results from linear algebra, and combinatorial identities of elementary symmetric functions and νB\nu_B, to provide the entries of the Moore-Penrose pseudo-inverse matrix A+A^{+} and the Gapped k-mer filter matrix A+AA^{+} A.

Keywords

Cite

@article{arxiv.2102.10682,
  title  = {Generalized Gapped-kmer Filters for Robust Frequency Estimation},
  author = {Morteza Mohammad-Noori and Narges Ghareghani and Mahmood Ghandi},
  journal= {arXiv preprint arXiv:2102.10682},
  year   = {2021}
}

Comments

arXiv admin note: substantial text overlap with arXiv:1605.06806

R2 v1 2026-06-23T23:22:42.885Z