Sentence examples for normalization pool from inspiring English sources

A normalization pool containing equal protein from each sample, for inclusion on each 2D gel, was labeled with Cy2.

For each protein spot, the ratio of background-subtracted sample-specific signal (Cy3 or Cy5 density) to normalization pool signal (Cy2) was calculated.

The critical requirement is that attention should be able to modulate the activity of a normalization pool that captures the attended feature, whether spatial or otherwise.

For example, if attention is directed to one of two co-extensive patches of random dots that move in different directions, the attentional normalization model can produce the expected changes in neuronal responses as long as there is a separate normalization pool for each of the different directions of motion.

The evaluation tests the influence of the following choices of the architecture: non-linearity (ReLU, ELU, maxout, compatability with batch normalization), pooling variants (stochastic, max, average, mixed), network width, classifier design (convolutional, fully-connected, SPP), image pre-processing, and of learning parameters: learning rate, batch size, cleanliness of the data, etc.

Inaccuracies in measuring the amount of DNA in a sample will compromise normalization in pools: any variation in the amount of DNA contributed by each plant in the pool will lead to reduced representation of one or more plants.

In addition, we perform our analysis on normalized array data and raw array data to examine how normalization affects pooling variance estimates.

After purification of PCR fragments and library normalization, sample pooling was performed by mixing equal volumes of each normalized DNA library, and the barcoded multiplexed library sequencing was performed on an Illumina MiSeq (Illumina).

Finally, the saliency map is computed from these feature maps after normalization and pooling.

(c) Error normalization and pooling: After decomposition of both reference and given image, the error is calculated as the (weighted) difference between both sets of coefficients.

The normalization and pooling strategies were used to increase probability of identifying unique and diverse set transcripts.