Refining motifs by improving information content scores using neighborhood profile search.

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Data Mining in Bioinformatics (BIOKDD).An ensemble learning approach to reverse-engineering transcriptional regulatory networks from time-series gene expression data

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Refining motifs by improving information content scores using neighborhood profile search.

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Refining motifs by improving i ...... g neighborhood profile search.

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Refining motifs by improving i ...... g neighborhood profile search.

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Refining motifs by improving i ...... g neighborhood profile search.

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P1476

Refining motifs by improving information content scores using neighborhood profile search

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Hsiao-Dong Chiang

http://www.w3.org/2001/XMLSchema#string

Yao-Chung Weng

http://www.w3.org/2001/XMLSchema#string

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Profile hidden Markov models

Fitting a mixture model by expectation maximization to discover motifs in biopolymers

Assessing computational tools for the discovery of transcription factor binding sites

Identifying DNA and protein patterns with statistically significant alignments of multiple sequences

Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment

Combinatorial approaches to finding subtle signals in DNA sequences.

Finding motifs in the twilight zone.

Finding subtle motifs by branching from sample strings.

A uniform projection method for motif discovery in DNA sequences.

Greedy mixture learning for multiple motif discovery in biological sequences.

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1748-7188-1-23

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http://www.w3.org/2001/XMLSchema#string

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scholarly article

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10.1186/1748-7188-1-23

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http://www.w3.org/2001/XMLSchema#string

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Chandan K. Reddy

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2006-11-27T00:00:00Z

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6669828

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1043264686

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17129371

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1687185

http://www.w3.org/2001/XMLSchema#string

Refining motifs by improving information content scores using neighborhood profile search.

about

P2860

P2860

Refining motifs by improving information content scores using neighborhood profile search.

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type

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P1433

P1476

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P356

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