Probability Computation of Molecular Matrices
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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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