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Estimation theory / DNA / DNA microarray / Microtechnology / Maximum likelihood / Standard deviation / Normal distribution / Normalization / Statistics / Microarrays / Gene expression


Maximum likelihood estimation of optimal scaling factors for expression array normalization Alexander J. Harteminka , David K. Gifforda,b , Tommi S. Jaakkolab , and Richard A. Youngc a MIT Laboratory for Computer Scienc
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Document Date: 2013-07-14 14:56:24

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File Size: 1,67 MB

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City

Cambridge / /

Company

S. B. Stepaniants D. D. / Affymetrix / Merck / /

Country

United States / /

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Facility

Biomedical Research Nine Cambridge Center / Technology Square / MIT Artificial Intelligence Laboratory / Whitehead Institute / /

IndustryTerm

genetic regulatory networks / analysis technology consortium / probe deposition technology / array technologies / gene regulatory networks / technology platforms / array technology / /

MedicalCondition

disease / diffuse large B-cell lymphoma / infection / heat shock / /

Organization

MIT Artificial Intelligence Laboratory / National Institute of Health / Whitehead Institute / G. M. Church / Biomedical Research Nine Cambridge Center / MIT Laboratory for Computer Science / /

Person

Peter Young / N. Cristianini / Richard A. Youngc / M. Ares Jr. / Ron Dror / T. Chen / V / S. Tavazoie / Tarjei Mikkelsen / C. W. Sugnet / Barb Cutler / M. J. Kidd / John Barnett / D. Haussler / David K. Gifforda / Scatterplot / M. R. Meyer / T. S. Furey / Tommi S. Jaakkolab / Alexander J. Harteminka / D. Lin / A. Churchill / J. DeRisi / V / /

Position

Prime Minister / author / King / /

ProgrammingLanguage

ML / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Nature Genetics / /

Technology

semiconductor / hybridization / array technology / 320 chips / low-density Ye6100 chips / four chips / probe deposition technology / array technologies / laser / thermodynamics / DNA Chip / gene expression / 200 Technology / genotype / /

URL

http /

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