Sentence examples for composition by chance from inspiring English sources

Exact(1)

In his 30's he started to employ techniques of composition by chance methods, anticipating & influencing European & American composers of what is now called "aleatory" or chance, music.

Similar(59)

Each picture bears a resemblance — in both form and spirit — to Kelly's earliest paintings, which were stuttering, syncopated affairs, their composition and color choices determined by chance, a technique that he borrowed from his friend Jean Arp.

We detected significant phylogenetic signal for both Class I and Class II TEs at both the superfamily and family level (Additional files 1, 2 and 3), indicating that the genomes of related species are more similar in TE composition and abundance than expected by chance.

The "Spectrum" paintings — there are several, some of them displayed in tight clusters — build on Mr. Kelly's early-1950s cofpositions of colored squares arranged by chance.

For each known miRNA, the MS control set was constructed by random permutation, without replacement, of its nucleotides, preserving both length and nucleotide composition (but not dinucleotide frequencies, except by chance).

Our method takes into account the increased variability of exposed residues relative to buried residues and finds clusters of mutations that are unlikely to have arisen by chance given their composition of buried and exposed residues.

A majority (55/90 or 61.1%) of the identified neointrons have associated internal direct repeats with lengths and compositions that are unlikely to occur by chance, suggesting repeated bouts of staggered double-strand breaks (DSBs) during their evolution.

This shows that there are fewer uORFs than would be expected by chance in sequences of identical composition, lending further weight to this observation.

In contrast, the 3' regions of the mRNAs which we have tested contain AUGs at approximately the level expected by chance based on the sequence composition and length.

The SLiMChance algorithm estimates the probability of returned motifs arising by chance, correcting for the size and composition of the dataset, and assigns a significance value to each motif.

High Z scores indicate that a motif is significantly more abundant within hits than would be expected by chance, taking into account the sequence composition of the transcripts to which the hits map.

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