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Last data update: 2014.03.03

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Results 141 - 150 of 27352 found.
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origin_bin (Package: jmosaics) :

This is an example chr10 ChIP-seq data of Histone H3K4me1 and H3K27me3.

● Data Source: BioConductor
● Keywords: datasets
● Alias: origin_bin
● 0 images

damage (Package: joda) : Knockout data for three regulators: ATM, RelA and p53 in two different cell populations: healthy (referred to as normal) cells and cells treated with neocarzinostatin (referred to as damaged cells).

Knockout expression data for the kinase ATM and transcription factors p53 and RelA (Elkon et al., 2005), as well as knowledge about their targets and mutual regulatory relations in two different cell populations: healthy and damaged cells.

● Data Source: BioConductor
● Keywords: datasets
● Alias: beliefs.damage, beliefs.healthy, data.damage, data.healthy, model.damage, model.healthy
● 0 images

kebabsData (Package: kebabs) : KeBABS Sequence Data

The package contains two small sequence datasets for demonstration of the package functionality.

TFBS is a subset of EP300/CREBBP binding data provided with the publication Lee et al., 2011. The data is based on binding sites identified with ChIP-seq by Visel et al., 2009. Please note that due to package size restrictions only a small subset of the data used in Lee et al., 2011 is included in the package. Following variables are defined:

● Data Source: BioConductor
● Keywords: datasets
● Alias: TFBS, ccannot, ccgroups, ccseq, enhancerFB, kebabsData, yCC, yFB
● 0 images

eset (Package: kidpack) : renal cell cancer expression data

renal cell cancer expression data

● Data Source: BioConductor
● Keywords: datasets
● Alias: cloneanno, eset, esetSpot
● 0 images

qua (Package: kidpack) : renal cell cancer raw data

renal cell cancer raw data

● Data Source: BioConductor
● Keywords: datasets
● Alias: hybanno, qua, spotanno
● 0 images

DiStatis (Package: kimod) : code{DiStatis

This is the function that makes DiStatis Methodology: Statis is part of the PCA family and therefore the main analytical tool for STATIS is the singular value decomposition (SVD) and the generalized singular value decomposition (GSVD) of a matrix. The goal of Statis is to analyze several data sets of variables that were collected on the same set of observations. Originally, the comparisons were drawn from the compute of the scalar product between the different tables. In this approach, the condition is made more flexible, allowing the incorporation of different distance measurements (including the scalar product) to compare the tables.

● Data Source: BioConductor
● Keywords: datasets
● Alias: DiStatis, DiStatis-methods
● 0 images

NCI60Selec (Package: kimod) : Microarray gene expression profiles of the NCI 60 cell lines from 4 different platforms.

The 60 human tumour cell lines are derived from patients with leukaemia, melanoma, lung, colon, central nervous system, ovarian, renal, breast and prostate cancers. The cell line panel is widely used in anti-cancer drug screen. In this dataset, a subset of microarray gene expression of the NCI 60 cell lines from four different platforms are combined in a list.

● Data Source: BioConductor
● Keywords: datasets
● Alias: NCI60Selec
● 0 images

NCI60Selec_ESet (Package: kimod) : Microarray gene expression profiles of the NCI 60 cell lines from 4 different platforms.

● Data Source: BioConductor
● Keywords: datasets
● Alias: NCI60Selec_ESet
● 0 images

bs1 (Package: leeBamViews) :

BamViews instance construction related to yeast RNA-seq

● Data Source: BioConductor
● Keywords: datasets
● Alias: bs1
● 0 images

leeRPKM (Package: leeBamViews) :

supplemental data extract on RNA seq results in yeast

● Data Source: BioConductor
● Keywords: datasets
● Alias: leeRPKM
● 0 images