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Microarray classification
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In this paper, we propose using PCA for dimension reduction and then using decesion tree algorithms to search the space of eigenvectors with the goal of selecting a subset of eigenvectors encoding important information.
4p
vifalcon
18-05-2023
7
2
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Microarray technology is widely used in cancer diagnosis. Successfully identifying gene biomarkers will significantly help to classify different cancer types and improve the prediction accuracy. The regularization approach is one of the effective methods for gene selection in microarray data, which generally contain a large number of genes and have a small number of samples.
12p
viwyoming2711
16-12-2020
9
1
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DNA microarrays are potentially powerful technology for improving diagnostic classification, treatment selection, and prognostic assessment. The use of this technology to predict cancer outcome has a history of almost a decade.
12p
vikentucky2711
26-11-2020
15
0
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Microarray technology, as well as other functional genomics experiments, allow simultaneous measurements of thousands of genes within each sample. Both the prediction accuracy and interpretability of a classifier could be enhanced by performing the classification based only on selected discriminative genes.
20p
vikentucky2711
26-11-2020
14
2
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Applying machine learning methods on microarray gene expression profiles for disease classification problems is a popular method to derive biomarkers, i.e. sets of genes that can predict disease state or outcome. Traditional approaches where expression of genes were treated independently suffer from low prediction accuracy and difficulty of biological interpretation.
14p
vikentucky2711
26-11-2020
8
1
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We consider data from a time course microarray experiment that was conducted on grapevines over the development cycle of the grape berries at two different vineyards in South Australia. Although the underlying biological process of berry development is the same at both vineyards, there are differences in the timing of the development due to local conditions.
9p
vikentucky2711
24-11-2020
12
1
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Most ‘transcriptomic’ data from microarrays are generated from small sample sizes compared to the large number of measured biomarkers, making it very difficult to build accurate and generalizable disease state classification models. Integrating information from different, but related, ‘transcriptomic’ data may help build better classification models.
15p
vikentucky2711
24-11-2020
12
1
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Selecting a parsimonious set of informative genes to build highly generalized performance classifier is the most important task for the analysis of tumor microarray expression data. Many existing gene pair evaluation methods cannot highlight diverse patterns of gene pairs only used one strategy of vertical comparison and horizontal comparison, while individual-gene-ranking method ignores redundancy and synergy among genes.
16p
vioklahoma2711
19-11-2020
14
2
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The Top Scoring Pair (TSP) classifier, based on the concept of relative ranking reversals in the expressions of pairs of genes, has been proposed as a simple, accurate, and easily interpretable decision rule for classification and class prediction of gene expression profiles.
13p
viconnecticut2711
28-10-2020
20
1
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Microarray datasets consist of complex and high-dimensional samples and genes, and generally the number of samples is much smaller than the number of genes. Due to this data imbalance, gene selection is a demanding task for microarray expression data analysis.
15p
vicolorado2711
23-10-2020
9
1
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(BQ) Continued part 1, part 2 of the document Trends and methodologies of bioinformatics has contents: Basidiomycetes telomeres – A bioinformatics approach, on chip living cell microarrays for network biology, novel machine learning techniques for micro array data classification,... and other contents. Invite you to refer.
436p
thuongdanguyetan06
06-06-2019
9
1
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
12p
panasonic02
15-12-2011
56
3
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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: A classification based framework for quantitative description of large-scale microarray data...
17p
thulanh20
10-11-2011
40
2
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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Correction: Multiclass classification of microarray data with repeated measurements: application to cancer...
4p
thulanh20
10-11-2011
38
1
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