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Results In this study, to identify early markers of HD, the authors used human HD-induced pluripotent stem cells (iPSCs) from HD- and juvenile-HD-affected individuals, and generated a model of undifferentiated naïve cells (HD YAC128 iPSCs).

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The literature on market research has shown the importance of studying scripts; in fact, they originate from the observation and analysis of a phenomenon that is social before being entrepreneurial: sharing largely tacit knowledge of stereotypical actions with other individuals and generating new knowledge (Del Giudice 2008).

We generate simulation by randomly mating individuals and generating a pedigree using a recombination rate of 10−.

In this review, we discuss the genetics of AD patients and the potential for iPSCs to capture the genomes of these individuals and generate relevant cell types.

We isolated DNA from blood samples obtained from each individual, and generated whole genome shotgun (WGS) sequence data at high coverage ranging between 32 to 48X, using the Illumina platform (Methods, Table  1, Additional file 1: Table S1).

Molecular markers discriminated the individuals efficiently and generated a high similarity in dendrogram topologies derived using unweighted pair-group arithmetic average, although some differences were observed.

In this approach, recorded flow data of n years were decomposed into individual years and generated FDC for individual years using 7-day moving mean and plotting as previously discussed in steps a to e.

To understand the dynamic nature of gene expression in individual cells at the whole-genome scale, we randomly selected 12 individual ESCs and generated their digital transcriptome profile (Tang et al., 2009).

The meta-analysis of the factor analysis integrated the data from the 39 individual studies and generated the evidence-based results of the review.

We adapted a quantitative interpretation of lameness, using the number of lameness treatments of the individual animal, and generated the new variable: "lameness treatments".

Depression and anxiety disorders are major health problems, which lower the quality of life for the individual and generate large costs for society.

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