Sentences with phrase «cluster analysis based»

Although many common genes were expressed in the three tissues, cluster analysis based on transcript levels revealed distinct gene expression profiles of the d - 18 EET (Fig. 2C and SI Appendix, Fig.

It uses k - means clustering analysis based on playing habits and tags to divide games into groups.

Not exact matches

The analysis is based on Hubble images of a spiral galaxy in the Coma cluster, located 300 million light years from Earth.

«Coronary artery disease tends to cluster in families and has a strong genetic basis; however, we do not fully understand that genetic foundation,» said senior author Danish Saleheen, PhD, an assistant professor of Epidemiology and Biostatistics at Penn. «We conducted the largest genetic analyses on coronary artery disease to date, including information from people of European, African, South Asian, and East Asian heritages.»

We intend to provide a few simple portals as a starting point, but new portals can be developed by anyone in the scientific or computational community, for a wide diversity of use cases, including: clustering, differential interference, spatial reconstruction, visualization, and graph - based analysis.

It should be noted, however, that the typing method used here is based on the analysis of a noncoding spacer region within the rRNA gene cluster of B. burgdorferi [16, 19, 28, 35].

In small cell lung cancer, starting from bioinformatics analyses of large gene expression datasets, we clustered subsets of co-expressed gene modules, derived networks of transcription factors and simulated their dynamics using logic - based mathematical modeling.

Using dual regression and seed - based analyses, we observed significantly decreased FC of the default mode network to 2 regions in the posterior medial cortex (PMC): the posterior cingulate cortex (PCC) and the left precuneus (threshold - free cluster enhancement, family-wise error corrected P < 0.05).

Linear regression analysis of all 6 - 8 base motifs in clusters yielded numerous «enriched» seed sequences; the most prevalent corresponded to the binding site of miR - 124, a well known brain - specific miRNA.

These methods included the analysis of the images and spectra as well as the development of physics - based models of gravitational lensing around the Frontier Fields galaxy clusters.

Our analysis is based on a new sample of rotation periods in the main - sequence cluster Praesepe (age 600 Myr).

The set of possible analyses include: 1) comparison of cell populations for the identification of differentially expressed genes; 2) dimensionality reduction for the identification of relevant coordinates; and 3) clustering of subpopulations on the base of gene expression profiles.

Here we describe genome - engineering based evaluation of RNA regulatory element activity (GenERA), a clustered regularly interspaced short palindromic repeats (CRISPR)- Cas9 platform for in situ high - content functional analysis of RREs.

To understand the selection mechanism behind mutations, network - based studies were used to estimate the importance of a mutated protein compared to non-mutated ones in signalling and protein — protein interaction networks.10, 11,12,13 Proteins mutated in cancer were found having a high number of interacting partners (i.e., a high degree of connectivity), which indicates high local importance.10 Mutated proteins are also often found in the centre of the network, in key global positions, as quantified by the number of shortest paths passing through them if all proteins are connected with each other (i.e., they have high betweenness centrality; hereafter called betweenness).11, 12 Mutated proteins also have high clustering coefficients, which means their neighbours are also neighbours of each other.10, 13 Moreover, neighbourhood analysis of mutated proteins have been previously successfully used to predict novel cancer - related genes.14, 15 However, to the best of our knowledge, no study has concentrated particularly on the topological importance of first neighbours of mutated proteins in cancer, and their usefulness as drug targets themselves.

To do this we use cluster analysis, a statistical method designed to group objects of study (in this case, schools) based on similar qualities.

Taxa were further assigned to a number of severity categories that were defined based on clustering analysis for BRI (Mathematica, k - clustering algorithm) and the detailed description is provided in Text S1 section 1.4.

In light of the comments by Craig Loehle and Willis Eschenbach, we decided to update our original draft to include sections, • Discussing the different reconstruction methods used by the 19 proxy - based estimates, and their relative advantages / disadvantages • Providing a more detailed discussion of the lack of consistency between individual proxies, and the importance of carrying out rigorous «sensitivity studies», including a discussion of Willis Eschenbach's cluster analysis.

Further, we excluded similar question items based on hierarchical and non-hierarchical cluster analyses.

A typology of incestuous families based on cluster analysis.

The cluster analysis produced five groups of children based on their characteristics across the five SDQ sub-scales.

To facilitate such analyses, researchers used a clustered sampling design based around 132 schools to recruit the nationally representative sample.