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Chapter and Conference Paper
Rock-Paper-Scissors Game Based on Two-Domain DNA Strand Displacement
Based on two-domain DNA strand displacement, a computing model is proposed. The model is used as a “referee” for two players in a well-known Rock-Paper-Scissors game, which can be utilized as an example of the...
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Chapter and Conference Paper
RNA Sequences Similarities Analysis by Cross-Correlation Function
According to concept of dinucleotide, this paper proposes a graphical representation of dinucleotide. In this way, the graphical representation can not only show sequence one-to-one, but also can be easily con...
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Chapter and Conference Paper
A Modified Shuffled Frog Lea** Algorithm for Constructing DNA Codes
High-quality DNA codes satisfying combinatorial constraints are important in the efficiency of DNA computing and other applications (e.g., DNA probes, DNA tagging). The key of constructing DNA codes is to find...
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Chapter and Conference Paper
Hybrid Invasive Weed Optimization and GA for Multiple Sequence Alignment
Multiple sequence alignment is one of fundamental problems in bioinformatics, and to design a targeted and effective algorithm for multiple DNA, RNA or protein sequences. The research is to find out the maximu...
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Chapter and Conference Paper
The Decoder Based on DNA Strand Displacement with Improved “AND” Gate and “OR” Gate
In the computational biology, DNA strand displacement technique is used to construct the logic gate model and molecular circuits. But with the increase of number of the reaction strands, the basic logic gates ...
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Chapter and Conference Paper
Logic Calculation Based on Two-Domain DNA Strand Displacement
DNA strand displacement technology has become one of the most commonly used in biological computing technology. In this paper, we design a calculation model of the basic logic unit based on two-domain DNA stra...
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Chapter and Conference Paper
Logic Operation Model of the Complementer Based on Two-Domain DNA Strand Displacement
DNA strand replacement technology has the advantages of simple operation which makes it becomes a common method of DNA computing. A four bit binary number Complementer based on two-domain DNA strand displaceme...
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Chapter and Conference Paper
Image Encryption Technology Based on Chaotic Hash Function and DNA Splicing Model
The security of communication and preservation for digital image has great significance in modern society. In this paper, DNA splicing model was combined with hash function to encrypt grayscale image. In the p...
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Chapter and Conference Paper
3D Protein Structure Prediction with BSA-TS Algorithm
Three-dimensional protein spatial structure prediction with the amino acid sequence can be converted to a global optimization problem of a multi-variable and multimodal function. This article uses an improved ...
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Chapter and Conference Paper
Logic Gates Designed with Domain Label Based on DNA Strand Displacement
The construction of DNA logic gates plays a very significant role in solving NP-complete problems, because DNA computer applied to solving NP-complete problems consists of DNA logic gates. Although AND Gate mo...
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Chapter and Conference Paper
DNA Self-assembly Model to Solve Compound Logic Operators Problem
Self-assembly is the process that the component form an ordered form or structure. Because of the biochemical characteristics of DNA molecules, they become a research emphasis in the field of self-assembly. DN...
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Chapter and Conference Paper
A Method of Discriminative Features Extraction for Restricted Boltzmann Machines
The Restricted Boltzmann Machine (RBM) is a kind of stochastic neural network. It can be used as basic building blocks to form deep architectures. Since Hinton solved the problem of computational inefficiency ...
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Chapter and Conference Paper
RNA Sequences Similarities Analysis by Inner Products
According to 2-D chaos game representation of RNA secondary structures, we propose a new method of 3-D graphical representation which does not lose any biological information. Then we extract a new numerical f...
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Chapter and Conference Paper
A Method of Motif Mining Based on Backtracking and Dynamic Programming
Because of the complexity of biological networks, motif mining is a key problem in data analysis for such networks. Researchers have investigated many algorithms aimed at improving the efficiency of motif mini...
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Chapter and Conference Paper
A Combining Dimensionality Reduction Approach for Cancer Classification
Because the original gene microarray data has many characteristics such as high dimension and big redundant, which is not good at classification and diagnosis of cancer. So it is very important to reduce the d...
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Chapter and Conference Paper
Improved Niche Genetic Algorithm for Protein Structure Prediction
Due to the complexity and variety of protein structure, the protein structure prediction (PSP) is a challenging problem in the field of bioinformatics. In this paper, we adopt an improved niche genetic algorit...
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Chapter and Conference Paper
Protein Structure Prediction Based on Improved Multiple Populations and GA-PSO
Predicted amino acid sequence of the protein through its spatial structure can be attributed to a multivariable multi extreme global optimization problem. Based on AB off lattice model, a novel hybrid algorith...
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Chapter and Conference Paper
Study and Application of DNA Cellular Automata Self-assembly
Because DNA self-assembly technique has its unique molecular function and control of nanomaterials synthesis, DNA computing model based on the self-assembly owns great prospects for development. At present, hu...
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Chapter and Conference Paper
The Application of Artificial Bee Colony Algorithm in Protein Structure Prediction
The biological function of the protein is folded by their spatial structure decisions, and therefore the process of protein folding is one of the most challenging problems in the field of bioinformatics. Altho...
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Chapter and Conference Paper
DNA Sequence Motif Discovery Based on Kd-Trees and Genetic Algorithm
In the post-genomics era, recognition of transcription factor binding sites (DNA motifs) to help with understanding the regulation of gene is one of the major challenges. An improved algorithm for motif discov...