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Due to the filtering steps we utilized, each gene pair is less than 1 Mb apart and shares high sequence similarity (>97%) in at least two consecutive exons and their intervening intron.

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In the first normalization step, we utilized a LOWESS algorithm based on all the probes of the array.

For the second normalization step, we utilized signals from probes against the spiked transcripts that passed the following spot quality filters: were not feature or background "non-uniformity outliers", were not saturated and were "well above background".

In the second step, we utilized linear regression models to examine the specific association of different types of childhood maltreatment and psychopathology.

In the next step, we utilized gene ontology enrichment analysis to concentrate on the GO categories that were really pivotal at the indicated time point of each group.

To investigate whether the prostratin-induced expression of latent HIV-1 occurs at transcription initiation or elongation step, we utilized a real-time RT-PCR (qRT-PCR) assay with the primers targeting distinct regions of the transcript.

Samples were resuspended in 60μL water and 2 μg RNA from each sample were subsequently subjected to qRT-PCR using TaqMan RT-PCR ABI7900HT, in a two-step procedure, as following: 1) For reverse transcriptase step we utilized ABI High Capacity cDNA Reverse Transcription Kit (4368814,from Applied Biosystems).

For this step, we utilize HMC to reduce the correlation between successive sampled states.

Having detailed the Picard-type iteration we use to solve the problems and derived the structure of the matrix system to be solved at each step, we utilize the theory of saddle point systems to develop efficient preconditioned iterative solution techniques for these problems.

As the next step, we utilize a particle filter to track the hand.

In this first step, we utilize gradient magnitude to compute the local quality, which is efficient and responsive to degeneration when the images are transmitted by sensor networks.

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