title: ÐÐ¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐ¿Ð°ÐºÐ¾Ð²ÐºÐ¸ Ð³ÐµÐ½Ð¾Ð¼Ð½Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð² ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Optimization of packing genomic information in synthetic images
Creators: name: ÐÑÐ¾ÑÐºÐ¸Ð½, ÐÐ²Ð°Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
ÐºÐ²Ð°Ð½ÑÐ¾Ð²Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
ÐºÐ»ÑÑÐµÐ²ÑÐµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¸
Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°Ð½Ð¸Ðµ ÑÐµÐ½Ð¾ÑÐ¸Ð¿Ð°
synthetic images
optimization
quantum neural network
key features
phenotype prediction

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description: This work involves the development of an algorithm for optimizing the packaging of genetic information into synthetic images for use in a quantum neural network-based model for predicting agricultural traits of chickpea. During the development process, the algorithm code was improved, leading to a reduction in processing time and memory consumption. Additionally, a parallel version of the algorithm was developed. Studies were conducted on the impact of the image optimization algorithm on the quality of training a hybrid quantum neural network. An evaluation of the performance of the trained model on a test dataset was also carried out, along with an assessment of the quality of training. An algorithm for calculating the influence of features on the neural networkâs performance was applied to the developed model. A group of features that have the most significant impact on the modelâs decision and are statistically distinguishable were selected. This revealed key genetic markers chickpea that have a stronger influence on predicting phenotype. In the future, the research results can be examined from a biological standpoint for interpretation. They can also be compared with the results of other methods for identifying key genetic markers to assess the methodâs performance.