[PDF] Top 20 Gene set analysis methods: a systematic comparison
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Gene set analysis methods: a systematic comparison
... all methods along with GSEA alternative ...recommended methods for overlap pathways for experiments with the KRAS pathway differentially ...recommended methods include CAMERA, GSEA with user defined ... See full document
19
Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data
... statistical methods in classification do not work well or even at all, so improvement or modification of existing statistical methods is needed to prevent over-fitting and produce more reliable ...shrinkage ... See full document
8
Comparison of normal and pre-eclamptic placental gene expression: a systematic review with meta-analysis
... PE is a serious complication of human pregnancy. While previous studies have led to clear descriptions of symptoms and diagnosis, our understanding of the genes altered in PE is still limited. In an attempt to identify a ... See full document
20
Evaluation of biological pathways involved in chemotherapy response in breast cancer
... Gene set enrichment score was calculated as reported previously ...a gene set is overrepresented at the extremes of the entire ranked gene ...from comparison with this null ...a ... See full document
9
Pathway analysis reveals functional convergence of gene expression profiles in breast cancer
... a set of K gene-signatures, let n i be the number of genes in signature i and N i be the total number of genes in the experimental set from which the signature genes were ...a gene signa- ... See full document
7
A systematic comparison of experimental set-ups for modelling extensional tectonics
... The rheological calculations highlight that one should carefully consider the various factors that may influence the strength of the lithosphere in a given tectonic setting be- fore selecting a specific experimental ... See full document
35
Comparing gene set analysis methods on single nucleotide polymorphism data from Genetic Analysis Workshop 16
... each gene as either “significantly associated with the phenotype ” or not, and then compares the proportion of significant genes in the set of interest with the proportion of significant genes not in the ... See full document
5
FDR-FET: an optimizing gene set enrichment analysis method
... Abstract: Gene set enrichment analysis for analyzing large profiling and screening experiments can reveal unifying biological schemes based on previously accumulated knowledge represented as ... See full document
6
An Analysis of the Relationship of Imports and Economic Growth in Iran (Comparison of Systematic and Unsystematic Cointegration Methods with Neural Network)
... level. Comparison of this coefficient with long-run coefficient shows that the impact of real GDP on total imports in Iran is bigger in a short-run period than a long-run period ... See full document
10
Gene Set Enrichment Analysis using Linear Models and Diagnostics
... performance comparison summary between the two data-mining methods on chromosome 21, for which there was laboratory verification of aneuploidies using two methods (cytogenetics and ...the ... See full document
6
Analysis framework of network security situational awareness and comparison of implementation methods
... ability analysis, the quantitative computational analysis pro- vides comparative criteria such as maximum attack probability [6, 129, 132], maximum attack revenue [102, 146], and minimum cut set ... See full document
32
A systematic review of statistical methods used to test for reliability of medical instruments measuring continuous variables
... The correlation coefficient (r) has also been used to assess reliability. However, this method is also not suitable for the analysis of reliability. The correlation coefficient only provides information about the ... See full document
5
Comparison of multivariate statistical analysis methods
... The basic idea of Fisher's discriminant is projection. The k sets of m dimension data are projected into a certain direction so that the group and the group are separated as much as possible after the projection. The ... See full document
5
Onset Detection in Surface Electromyographic Signals: A Systematic Comparison of Methods
... Analysis of simulated as well as real SEMG data showed that appropriate signal conditioning of the measured raw SEMG is a prerequisite for high detection performance. Low- pass filtering the (full-wave-rectified) ... See full document
15
Gene set analysis methods applied to chicken microarray expression data
... a set of machine learning meth- ods that can be used for data classification and has been implemented in Gist ...training set. The test set for class prediction consisted of the expres- sion ratios ... See full document
6
Integrative Analysis of Multi-Platform Genomic Data.
... these methods over ordinary analysis has been demonstrated with heterogeneous data in a single platform, to the best of our knowledge, there are no corresponding gene set approaches for ... See full document
118
Antisense oligonucleotide–mediated ataxin-1 reduction prolongs survival in SCA1 mice and reveals disease-associated transcriptome profiles
... the comparison to the set of all genes that were detected in both WGCNA anal- yses ...the set of 11,336 genes shared by both ...Pathway Analysis (IPA) was performed on the Magenta and Brown ... See full document
18
A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time
... longitudinal gene expression pro- ...pathway analysis methods to execute feature selection for longitu- dinal gene expression data, such an application may save time of developing a new ... See full document
8
Mapping the chromatin landscape and Blimp1 transcriptional targets that regulate trophoblast differentiation
... Upregulated gene expression during trophoblast differentiation reflects selective expansion of accessible chromatin ...in gene expression profiles were detectable during TSC differentiation ...see ... See full document
16
Individual patient data meta-analysis of diagnostic and prognostic studies in obstetrics, gynaecology and reproductive medicine
... decision analysis in which we integrated patient valuations of subfertile cou- ples (incorrect withholding of IVF versus undergoing IVF without success) and predicted probabilities of IVF-suc- ...This ... See full document
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