An Optimization Scheme Based on the Simulated Annealing Algorithm for In situ DNA Microarray Synthesis

The simulated annealing-based optimization strategy demonstrates clear advantages in improving DNA microarray synthesis efficiency while reducing material usage and waste, thereby enhancing cost-effectiveness. Such improvements offer practical benefits for applications, including gene editing, drug development, and DNA data storage.

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Publication Details

Journal
Combinatorial Chemistry & High Throughput Screening
Published
2026-01-21
DOI
https://doi.org/10.2174/0113862073402626251112103715
Primary Topic
Gene expression and cancer classification
Type
article
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article

An Optimization Scheme Based on the Simulated Annealing Algorithm for In situ DNA Microarray Synthesis

Kun Bi, Hanlin Cheng, Xiangwei Zhao, Chu Cheng et al.
Combinatorial Chemistry & High Throughput Screening
Gene expression and cancer classification
article

An Optimization Scheme Based on the Simulated Annealing Algorithm for In situ DNA Microarray Synthesis

Kun Bi, Hanlin Cheng, Xiangwei Zhao, Chu Cheng, Xiucui Guan, Qizhen Zhu, Hengyu Li, Pengfeng Xiao
article en

Abstract

The simulated annealing-based optimization strategy demonstrates clear advantages in improving DNA microarray synthesis efficiency while reducing material usage and waste, thereby enhancing cost-effectiveness. Such improvements offer practical benefits for applications, including gene editing, drug development, and DNA data storage.

Combinatorial Chemistry & High Throughput ScreeningVol. 29
Wuhan Polytechnic University (CN), State Key Laboratory of Digital Medical Engineering (CN), Southeast University (CN)
Openalex Percentile: Top 77%
Gene expression and cancer classification
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An Optimization Scheme Based on the Simulated Annealing Algorithm for In situ DNA Microarray Synthesis — Kun Bi, Hanlin Cheng, et al. · Combinatorial Chemistry & High Throughput Screening (2026) | TGRS Research Map | TGRS