enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. List of software to detect low complexity regions in proteins

    en.wikipedia.org/wiki/List_of_software_to_detect...

    It calculates complexity using reciprocal complexity. no [7] ScanCom 2003 on request Calculates the compositional complexity using the linguistic complexity measure. no [8] CARD 2005 on request Based on the complexity analysis of subsequences delimited by pairs of identical, repeating subsequences. no [9] BIAS: 2006 downloadable / web

  3. Low complexity regions in proteins - Wikipedia

    en.wikipedia.org/wiki/Low_complexity_regions_in...

    They thus hypothesize and propose that, in a cell-free environment, the early genetic code may have also produced low complexity oligo-peptides from valine and leucine. [8] However, later on, within a more complex cellular environment, these highly hydrophobic LCRs became inappropriate or even toxic from a protein interaction perspective and ...

  4. Sample entropy - Wikipedia

    en.wikipedia.org/wiki/Sample_entropy

    Like approximate entropy (ApEn), Sample entropy (SampEn) is a measure of complexity. [1] But it does not include self-similar patterns as ApEn does. For a given embedding dimension, tolerance and number of data points, SampEn is the negative natural logarithm of the probability that if two sets of simultaneous data points of length have distance < then two sets of simultaneous data points of ...

  5. TPT (software) - Wikipedia

    en.wikipedia.org/wiki/TPT_(software)

    The offline evaluation is, technically speaking, based on the Python script language, which has been extended by specific syntactic language elements and a specialised evaluation library to give optimal support to the test evaluation. The use of a script language ensures a high degree of flexibility in the test evaluation: access to reference ...

  6. Robust principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Robust_principal_component...

    The 2014 guaranteed algorithm for the robust PCA problem (with the input matrix being = +) is an alternating minimization type algorithm. [12] The computational complexity is (⁡) where the input is the superposition of a low-rank (of rank ) and a sparse matrix of dimension and is the desired accuracy of the recovered solution, i.e., ‖ ^ ‖ where is the true low-rank component and ^ is the ...

  7. Low (complexity) - Wikipedia

    en.wikipedia.org/wiki/Low_(complexity)

    Several natural complexity classes are known to be low for themselves. Such a class is sometimes called self-low. [2] Scott Aaronson calls such a class a physical complexity class. [3] Note that being self-low is a stronger condition than being closed under complement. Informally, a class being low for itself means a problem can use other ...

  8. Hjorth parameters - Wikipedia

    en.wikipedia.org/wiki/Hjorth_parameters

    Complexity gives an estimate of the bandwidth of the signal, which indicates the similarity of the shape of the signal to a pure sine wave. Since the calculation of the Hjorth parameters is based on variance, the computational cost of this method is sufficiently low, which makes them appropriate for the real-time task.

  9. Lanczos algorithm - Wikipedia

    en.wikipedia.org/wiki/Lanczos_algorithm

    The Lanczos algorithm is most often brought up in the context of finding the eigenvalues and eigenvectors of a matrix, but whereas an ordinary diagonalization of a matrix would make eigenvectors and eigenvalues apparent from inspection, the same is not true for the tridiagonalization performed by the Lanczos algorithm; nontrivial additional steps are needed to compute even a single eigenvalue ...