IET Seminar on Signal Processing for Genomics
Latest Publications

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9

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Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Bayesian hidden Markov models for detecting regions of deletion and duplication in the human genome using Illumina BeadChip arrays

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060374 ◽

2006 ◽

Author(s):

C. Holmes ◽

C. Yau

Keyword(s):

Human Genome ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov

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Microarray analysis - problems and potential solutions

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060373 ◽

2006 ◽

Author(s):

S. Roberts

Keyword(s):

Microarray Analysis

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Finding characteristic biology patterns in cancer microarrays

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060376 ◽

2006 ◽

Author(s):

K. Vass ◽

P. Grindrod ◽

D. Higham ◽

G. Kalna ◽

A. Spence

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Funding opportunities in BBSRC

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060372 ◽

2006 ◽

Cited By ~ 1

Author(s):

D. Harding

Keyword(s):

Funding Opportunities

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Strategies and tools for multivariate biology: interactive analysis of high dimensional postgenomic data

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060375 ◽

2006 ◽

Author(s):

Zhesi He ◽

R. Ruddle ◽

L. Caves

Keyword(s):

High Dimensional ◽

Interactive Analysis

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From the DNA sequencer to a sequence assembly

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060371 ◽

2006 ◽

Author(s):

J. Bonfield

Keyword(s):

Sequence Assembly ◽

Dna Sequencer

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Employing Bayesian analysis in pathway modelling (Abstract only)

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060369 ◽

2006 ◽

Author(s):

M. Girolami

Keyword(s):

Bayesian Analysis

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Bioinformatic approaches to improve the identification of peptides from proteomics experiments

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060370 ◽

2006 ◽

Author(s):

King Wai Lau ◽

J. Siepen

Keyword(s):

Bioinformatic Approaches

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Modeling gene expression data using probabalistic Boolean networks (PSNS)

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060368 ◽

2006 ◽

Author(s):

S. Marshall ◽

Le Yu

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Boolean Networks ◽

Expression Data

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