Sentence examples for Column is assigned from inspiring English sources

When a table is defined, each column is assigned a data type that provides a broad domain.

Each entry of the column is assigned an FDR corresponding to the likelihood of belonging to the null.

This null model conserves binary structure and the column sum totals, but the values of the elements in each column are changed such that each connection in the column is assigned a random proportion of the column sum total.

Table 2 compares the distribution of column patterns in positions near ligands to the distribution over positions not near ligands; each column is assigned to the strictest filter (pattern) it passes and significance is calculated using the hypergeometric distribution.

But weeks later that momentum was squandered when Dan Savage, who writes a nationally syndicated sex column, was assigned to write about the Republican presidential hopeful Gary Bauer.

The two met in 1995, when Ms. Bushnell, then a 36-year-old freelance writer who had just begun the "Sex and the City" column, was assigned by Vogue to interview Mr. Star, a 34-year-old producer, about his latest series, "Central Park West".

Since the alignments for STAP analysis typically contained 70 sequences, 2000 random columns were generated for an alignment of 70 sequences of that average nucleotide composition and each column was assigned a quality score.

Consequently, each alignment column was assigned a p-value, which denotes the probability that the fold changes of the four groups of sequences (according to the four possible nucleotides at the specified position) are from the same distribution.

Each PFM column was assigned to the nearest profile.

To eliminate poorly aligned regions, each alignment column was assigned a homogeneity value by scaling the sum-of-pairs score within the column between those of a homogeneous column (the same residue in all aligned sequences) and a random column (YIW, I. A. Seledtsov, K. S. Makarova, unpublished).

The remaining n−m columns are assigned zero coefficients, therefore the ℓ1-norm minimization can be manifested as: min ∥ s [ i ] ∥ ℓ 1 subject to A · s [ i ] = x [ i ] (82).