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Volume 12, Issue 4
Probability Computation of Molecular Matrices

SiqingGanand Heng Sun

J. Info. Comput. Sci. , 12 (2017), pp. 304-311.

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  • Abstract
We propose an automatic, programmable and computational model consisting of biomolecules[1-5] by transforming a base pair into a one-dimensional matrix containing only 0,1, using the matrix length as the sample space, representing the event The sample point takes the percentage of the sample space as the percentage of the sample space as the probability of the event, and details the probability calculation problem into the model of the molecular calculation problem. After the introduction of the molecular matrix calculation probability method, the examples are given to illustrate the realization of the complex event molecular matrix calculation probability. In order to verify the feasibility and complexity of calculating the probability problem of the molecular matrix, we use the manual calculation probability to compare with the results of the DNA chain to predict the DNA secondary structure and its interaction through NUPACK[6] software.
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@Article{JICS-12-304, author = {SiqingGanand Heng Sun}, title = {Probability Computation of Molecular Matrices}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {12}, number = {4}, pages = {304--311}, abstract = { We propose an automatic, programmable and computational model consisting of biomolecules[1-5] by transforming a base pair into a one-dimensional matrix containing only 0,1, using the matrix length as the sample space, representing the event The sample point takes the percentage of the sample space as the percentage of the sample space as the probability of the event, and details the probability calculation problem into the model of the molecular calculation problem. After the introduction of the molecular matrix calculation probability method, the examples are given to illustrate the realization of the complex event molecular matrix calculation probability. In order to verify the feasibility and complexity of calculating the probability problem of the molecular matrix, we use the manual calculation probability to compare with the results of the DNA chain to predict the DNA secondary structure and its interaction through NUPACK[6] software. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22473.html} }
TY - JOUR T1 - Probability Computation of Molecular Matrices AU - SiqingGanand Heng Sun JO - Journal of Information and Computing Science VL - 4 SP - 304 EP - 311 PY - 2024 DA - 2024/01 SN - 12 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22473.html KW - biomolecular equipment, probability calculation, Bayesian probability problem, matrix. AB - We propose an automatic, programmable and computational model consisting of biomolecules[1-5] by transforming a base pair into a one-dimensional matrix containing only 0,1, using the matrix length as the sample space, representing the event The sample point takes the percentage of the sample space as the percentage of the sample space as the probability of the event, and details the probability calculation problem into the model of the molecular calculation problem. After the introduction of the molecular matrix calculation probability method, the examples are given to illustrate the realization of the complex event molecular matrix calculation probability. In order to verify the feasibility and complexity of calculating the probability problem of the molecular matrix, we use the manual calculation probability to compare with the results of the DNA chain to predict the DNA secondary structure and its interaction through NUPACK[6] software.
SiqingGanand Heng Sun. (2024). Probability Computation of Molecular Matrices. Journal of Information and Computing Science. 12 (4). 304-311. doi:
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