[PDF] Top 20 ANMM4CBR: a case-based reasoning method for gene expression data classification
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ANMM4CBR: a case-based reasoning method for gene expression data classification
... microarray data might make the furthest within-class distance extremely ...our method and NDA is that, NDA performs feature reduction by find- ing a weighted combination of all the features, while NMM aims ... See full document
11
A new strategy for case based reasoning retrieval using classification based on association
... KNN method through three main ...merge data clustering with KNN, where the structure of clus- tered cases is leveraged to lead to more relevant cases [112], ...a case base, a set of clusters is ... See full document
163
A new strategy for case based reasoning retrieval using classification based on association
... This paper has presented a new approach, CBRAR, to improve the performance of SBR. The CBRAR approach includes a new algorithm FP-CAR which produces far fewer frequent classed subsets than would be produced from a ... See full document
16
A rank weighted classification for plasma proteomic profiles based on case-based reasoning
... by classification methods based on overall means of similarity due to large within-subject variance, and there is no gold standard to analyze the plasma proteomic profiles ...CBR based ... See full document
9
Animal Knowledge based Systems in Egypt
... knowledge based for cattle and buffalo, a Bovine clinical knowledge based system was developed as extension to ...system, case-based reasoning methodology have been used after trailing ... See full document
6
Ranked selection of nearest discriminating features
... for gene expression databases only very few gene expressions are useful for the process of classification irrespective of the type of classifier ... See full document
14
Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data
... of gene have been selected by different LDA modification ...optimal gene set can vary from data to data ...optimal gene set by one feature gene selection method and one ... See full document
8
Novel approaches to biclustering and gene functional classification in microarray gene expression data
... synthetic gene expression d a ta se t, th e co n stru ctio n of w hich is described in section ...deletion based m ethods, however, have some difficulty in retrieving th e com plete ... See full document
143
Review on Feature Selection of Gene Expression Data for Autism Classification
... the expression levels of thousands of genes simultaneously in a single ...experiment. Gene expression profiles, which represent the state of a cell at a molecular level, have great potential as a ... See full document
5
Pre-processing for noise detection in gene expression classification data
... biological data is often characterized by the presence of redundant and noisy ...during data collection, such as contaminations in laboratorial ...the case of gene expression ... See full document
9
A TOPSIS based Method for Gene Selection for Cancer Classification
... selection method to find a subset of informative features that have smaller size and better classification accuracy compare to individual ...hybrid classification systems for classifying cancer ... See full document
6
Using rule based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data
... ranking method outperformed a combinatorial filter and an embedded selection method, could indicate that the feature independence assumption behind the univariate approach is reasonably satisfied for the ... See full document
18
A Combined Filter Wrapper Classification Method for Gene Selection from Gene Expression Datasets
... GA method is highly regarded as a robust form of gene selection method to finding any optimal solution as per the ...computation method with well-known search mechanisms ...approach ... See full document
8
Knowledge extraction in medical data mining: A case based reasoning for gynecological cancer an expert diagnostic method
... of data which is too diverse and complex to be evaluated by traditional methods are being generated by the health care ...of data mining on medical data can focus on new, useful and potentially ... See full document
5
Online Full Text
... vectorization method for support vector machines in a hybrid Data Mining and Case-Based Reasoning system which incorporates a vector model to help transfer textual information to ... See full document
5
Efficient Clustering for Gene Expression Data
... biological data. [1] These data can be used to the actual clinical application of gene expression data analysis and guide development of drugs and other ...the data mining tasks ... See full document
6
A temporal precedence based clustering method for gene expression microarray data
... the data to the unknown model that describes the ...are based on statistical mixture models which assume that data is generated by a finite mixture of underlying probability distributions, with each ... See full document
26
Classification of Cancer Gene Subtypes from Clustering of Gene Expression Data
... algorithm based on information bottleneck similarity known as ibFCC proposed by Liu, Wu [3] using similarity ...this method assigns membership functions of genes and samples; hence it was applied to ... See full document
5
Mineral Prospectivity Mapping Method Integrating Multi Sources Geology Spatial Data Sets and Case Based Reasoning
... metallogenic case, the fault’s direction (orientation relationship), the short- est distance between mineral occurrence and faults (met- ric relationship), the disjoint relationship between min- eral occurrence ... See full document
9
Correlation-based linear discriminant classification for gene expression data.
... The Monte Carlo setup was described previously (Kim and Simon, 2011). Simulated datasets were generated using multivariate normal distributions with class-specific mean vectors and common covariance matrices. Each ... See full document
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