[PDF] Top 20 Application of simulated annealing to the biclustering of gene expression data
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Application of simulated annealing to the biclustering of gene expression data
... every simulated anneal- ing ...In simulated annealing, it is also important to ensure that a search of sufficient depth is performed at each ...the annealing sched- ule, was of the type shown ... See full document
7
Configurable pattern-based evolutionary biclustering of gene expression data
... the data into clusters of samples and to iden- tify the differences between the genes that characterize such ...The application of clustering techniques to gene expression data has also ... See full document
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BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data
... the application, sample datasets and sessions, the Quickstart Guide to the software ("BiGGEsTS Quick- ...dot application and the GO files, and then the ...dot application first and edit the ... See full document
11
BiFree: An Efficient Biclustering Technique for Gene Expression Data Using Two Layer Free Weighted Bipartite Graph Crossing Minimization
... Most of the crossing minimization takes place in the first few iterations and hence we employ the weighted barycenter heuristic on the upper layer for only one iteration to place similar vertices in the vicinity of each ... See full document
8
Novel approaches to biclustering and gene functional classification in microarray gene expression data
... ore, gene ex pression datasets may contain as yet undiscovered classes of genes (functional modules) or samples (cell ...the application of unsupervised learning or clustering, which searches for class ... See full document
143
Biclustering of Gene Expression Data by Correlation-Based Scatter Search
... the data set by using binary values and it is recursively applied until a submatrix with only one value is ...of biclustering algorithms based on metaheuristics such as evolution- ary approaches [20,21], ... See full document
17
A Hybrid Nelder-Mead Method For Biclustering Of Gene Expression Data
... microarray gene expression data to find functionally correlated genes and the behavioral patterns of ...and application in bioinformatics and clinical search such as drug discovery, treatment ... See full document
6
A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series
... series gene expression data, obtained from microar- ray experiments performed in successive instants of time, can be used to study a wide range of biological problems [1], and to unravel the ... See full document
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Big Data Processing on Clustered Computers – Application of Simulated Annealing Algorithm Techniques
... big data are real and oftentimes far-reaching, that is why so many organizations have adopted big data for their own operations ...big data has prepared a paved road to the ...big data issues. ... See full document
6
Application of simulated annealing to inverse design of transonic turbomachinery cascades
... Abstract: In turbomachinery blade design, inverse methods and optimization techniques are often applied independently to produce high performance blade shapes. The idea of using an optimization algorithm to seek the ... See full document
15
Principal component gene set enrichment (PCGSE)
... genomic data in which important biological signals are defined by the collective action of groups of func- tionally related ...Although gene set testing methods have been widely applied in supervised ... See full document
18
Penalized Model-Based Clustering with Application to Variable Selection
... Table 3 gives the results for standard and penalized clustering. Again, in presence of the eight noise attributes, standard clustering always chose K = 1; in contrast, penalized clustering with automatic variable ... See full document
20
The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms
... The parameters applied during the differ- ent tests by the genetic algorithm are: crossover probability, 0.7; mutation probability, 0.3; special mu- tation probability, 0.4; number of generations, 3; and population size, ... See full document
6
Application of weighted gene co-expression network analysis to identify key modules and hub genes in oral squamous cell carcinoma tumorigenesis
... raw data of GSE30784 were downloaded from the GEO ...a gene defined as the sum of its adjacency with all other genes for the network ...similar expression profile into modules based on the TOM ... See full document
21
A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data
... A comparative study of the above five algorithms has revealed that: (1) ISA is the most effective one among the five algorithms on the dataset of GDS1620 and BIMAX outperforms the other algorithms on the dataset of ... See full document
10
A Parallel Algorithm for Gene Expressing Data Biclustering
... parallel biclustering algorithm P-bicluster for gene expression ...the data sets with their sizes, the algorithm uses the deviation of the elements of submatrix to measure the quality of ... See full document
7
A Mushy State Simulated Annealing
... As mentioned before, there are not many papers discussing about the initial condition issue when the annealing process starts. The main idea proposed in this paper is originated from the behaviour of the metal ... See full document
12
Discovering transnosological molecular basis of human brain diseases using biclustering analysis of integrated gene expression data
... integrative gene expression analysis, we combined three microarray datasets into a single dataset by adjusting batch-specific effects using ComBat method ...the biclustering method to the combined ... See full document
8
Disease Prediction with Simulated Annealing
... Several approaches for implementing medical diagnosis system have been addressed in the literature. In Ref. [1], the authors introduced the fuzzy logic approach for medical diagnosis system. The results and outcomes from ... See full document
11
Efficient generators in simulated annealing
... Let F be the original gray level image and G be the observed image degraded by additive independent identically distributed Gaussian noise of zero mean and standard deviation a.. Model b[r] ... See full document
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