gene expression data trang 1 tải miễn phí từ TAILIEUCHUNG

"gene expression data" trang 1 - tải miễn phí từ Tailieuchung

SgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters

SgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters

12 57 1

Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data

Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data

18 55 1

ChIPXpress: Using publicly available gene expression data to improve ChIP-seq and ChIPchip target gene ranking

ChIPXpress: Using publicly available gene expression data to improve ChIP-seq and ChIPchip target gene ranking

16 43 1

Discrete distributional differential expression (D3E) - a tool for gene expression analysis of single-cell RNA-seq data

Discrete distributional differential expression (D3E) - a tool for gene expression analysis of single-cell RNA-seq data

13 49 1

NexGenEx-Tom: A gene expression platform to investigate the functionalities of the tomato genome

NexGenEx-Tom: A gene expression platform to investigate the functionalities of the tomato genome

13 110 0

Clust: Automatic extraction of optimal coexpressed gene clusters from gene expression data

Clust: Automatic extraction of optimal coexpressed gene clusters from gene expression data

11 10 1

Statistical analysis of differential gene expression relative to a fold change threshold on NanoString data of mouse odorant receptor genes

Statistical analysis of differential gene expression relative to a fold change threshold on NanoString data of mouse odorant receptor genes

16 46 1

Novel gene sets improve set-level classification of prokaryotic gene expression data

Novel gene sets improve set-level classification of prokaryotic gene expression data

8 40 1

GOexpress: An R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data

GOexpress: An R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data

12 39 1

Hypergraph and protein function prediction with gene expression data

Hypergraph and protein function prediction with gene expression data

7 84 0

Shambhala: A platform-agnostic data harmonizer for gene expression data

Shambhala: A platform-agnostic data harmonizer for gene expression data

10 55 1

Feature selection of gene expression data for Cancer classification using double RBFkernels

Feature selection of gene expression data for Cancer classification using double RBFkernels

14 36 1

Minimum redundancy maximum relevance feature selection approach for temporal gene expression data

Minimum redundancy maximum relevance feature selection approach for temporal gene expression data

14 60 1

Impact of missing data imputation methods on gene expression clustering and classification

Impact of missing data imputation methods on gene expression clustering and classification

9 26 1

More powerful significant testing for time course gene expression data using functional principal component analysis approaches

More powerful significant testing for time course gene expression data using functional principal component analysis approaches

13 40 1

Protein functional module identification method combining topological features and gene expression data

Protein functional module identification method combining topological features and gene expression data

14 28 1

Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data

Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data

16 8 1

Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity

Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity

14 10 1

Inferring the perturbed microRNA regulatory networks from gene expression data using a network propagation based method

Inferring the perturbed microRNA regulatory networks from gene expression data using a network propagation based method

13 59 1

Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data

Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data

17 20 2

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