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Discrete Probability Detector (DPD) is an algorithm that transforms any sequence of symbols into a transition matrix. It is able to detect the number of states from the sequence and calculate the transition probabilities between these states. This version of DPD is made in Visual Basic 6.0.

License: MIT License

Visual Basic 6.0 100.00%
algorithm detector discrete machine-learning-algorithms matrix predictions probability text text-mining transitions

discrete-probability-detector-in-vb6's Introduction

Bioinformatics Algorithms in JavaScript Visual Basic (VBA; VB 6.0) - Markov-Chains An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments

Note: all applications presented here are designed natively in their respective programming or scripting languages, without libraries or external files. Thus, the applications have no dependencies and can be used offline. There are about 100 posts uploaded here, however, below are some useful projects that I have chosen to show as a preview:

Jupiter Bioinformatics (V1) Jupiter Bioinformatics V2 (normal) Jupiter Bioinformatics V2 (dark) Jupiter Bioinformatics V2 experiments Sequence Logo (relative style) Sequence Logo (block style)

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Discrete Probability Detector (DPD) Predictions with Markov Chains Objective Digital Stains Markov Chains scanner Linear congruential generator Information content vs percentage A high discrimination motif scanner A high discrimination motif scanner (variable sensitivity) Information content vs Information entropy Sequence Logo (relative style with axes) Sequence Logo (block style with axes) Spectral Forecast model for signals Chaos & noise Spectral Forecast equation for signals Spectral Forecast equation for matrices

Waveform-mixing-with-Spectral-Forecast-in-JS Waveform-mixing-with-Spectral-Forecast-in-JS Waveform-mixing-with-Spectral-Forecast-in-JS

Waveform-mixing-with-Spectral-Forecast-in-JS Waveform-mixing-with-Spectral-Forecast-in-JS Waveform-mixing-with-Spectral-Forecast-in-JS

native - Java Script Charts native - Java Script Charts native - Java Script Charts

Diabetes prediction prototype Prototype software for Photon-pixel coupling method PI laboratory in VB6 Motif detection VB6 Visual Sequence Alignment in VB6 Markov Chains detector in VB6Dynamic Block Allocation algorithm PromKappa 3.0 Objective Digital Stains in VB6 Markov Chains Simulation framework

Markov Chains Prediction framework Spectral-Forecast-equation-VB6-app-2.0 Markov Chains The weather

Bioinformatics Algorithms in JavaScript Bioinformatics Algorithms in JavaScript PromKappa 3.0 Objective Digital Stains in VB6

RNA complementarity DNA complementarity Entropy of text

Algorithms in Visual Basic for Applications

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Binary files inside EXCEL VBA

Spectral Forecast in EXCEL

  • Paul A. Gagniuc. An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments. Synthesis Lectures on Computer Science. Springer International Publishing, 2023, pp. 1-280.

  • Paul A. Gagniuc. Algorithms in Bioinformatics: Theory and Implementation. John Wiley & Sons, Hoboken, NJ, USA, 2021, pp. 1-528. ISBN: 9781119697961.

  • Paul A. Gagniuc. Markov chains: from theory to implementation and experimentation. Hoboken, NJ, John Wiley & Sons, USA, 2017, pp. 1-256. ISBN: 978-1-119-38755-8.

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