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  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...

    Thus, these two codons and their respective amino acids must have been constituents of the earliest oligopeptides, with a length of 10–55 amino acids [41] and very low complexity. Based on several different criteria and sources of data, Higgs and Pudritz [38] suggest G, A, D, E, V, S, P, I, L, T as the early amino acids of the genetic code ...

  4. 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.

  5. 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 ...

  6. 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 ...

  7. 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 ...

  8. NP-hardness - Wikipedia

    en.wikipedia.org/wiki/NP-hardness

    In computational complexity theory, a computational problem H is called NP-hard if, for every problem L which can be solved in non-deterministic polynomial-time, there is a polynomial-time reduction from L to H. That is, assuming a solution for H takes 1 unit time, H ' s solution can be used to solve L in polynomial time.

  9. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, R, JavaScript, Fortran, and C#. It has no external dependencies. A convenient thin wrapper to Python is available via the highspy PyPI package. Although generally single-threaded, some solver components can utilize multi-core ...