Coding theory based maximum-likelihood classifier for translation initiation regions in Escherichia coli K-12

Elebeoba May; Mladen Vouk; Donald Bitzer; David Rosnick

Coding theory based maximum-likelihood classifier for translation initiation regions in Escherichia coli K-12

Elebeoba May, Mladen Vouk, Donald Bitzer, David Rosnick

Research output: Contribution to journal › Conference article

Abstract

The messenger RNA (mRNA) was modeled as a noisy, systematic zero parity encoded signal and the ribosome as an (n, k) minimum distance block decoder. In addition, a maximum-likelihood classifier that distinguishes nRNA leader regions of translated sequences was designed. This classifier was tested using E. coli K-12 mRNA leader sequences.

Original language	English (US)
Journal	Annals of Biomedical Engineering
Volume	28
Issue number	SUPPL. 1
State	Published - Dec 1 2000
Event	2000 Annual Fall Meeting of the Biomedical Engineering Society - Washington, WA, USA Duration: Oct 12 2000 → Oct 14 2000

ASJC Scopus subject areas

Biomedical Engineering

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title = "Coding theory based maximum-likelihood classifier for translation initiation regions in Escherichia coli K-12",

abstract = "The messenger RNA (mRNA) was modeled as a noisy, systematic zero parity encoded signal and the ribosome as an (n, k) minimum distance block decoder. In addition, a maximum-likelihood classifier that distinguishes nRNA leader regions of translated sequences was designed. This classifier was tested using E. coli K-12 mRNA leader sequences.",

author = "Elebeoba May and Mladen Vouk and Donald Bitzer and David Rosnick",

year = "2000",

month = dec,

day = "1",

language = "English (US)",

volume = "28",

journal = "Annals of Biomedical Engineering",

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note = "2000 Annual Fall Meeting of the Biomedical Engineering Society ; Conference date: 12-10-2000 Through 14-10-2000",

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AU - May, Elebeoba

AU - Vouk, Mladen

AU - Bitzer, Donald

AU - Rosnick, David

PY - 2000/12/1

Y1 - 2000/12/1

N2 - The messenger RNA (mRNA) was modeled as a noisy, systematic zero parity encoded signal and the ribosome as an (n, k) minimum distance block decoder. In addition, a maximum-likelihood classifier that distinguishes nRNA leader regions of translated sequences was designed. This classifier was tested using E. coli K-12 mRNA leader sequences.

AB - The messenger RNA (mRNA) was modeled as a noisy, systematic zero parity encoded signal and the ribosome as an (n, k) minimum distance block decoder. In addition, a maximum-likelihood classifier that distinguishes nRNA leader regions of translated sequences was designed. This classifier was tested using E. coli K-12 mRNA leader sequences.

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M3 - Conference article

AN - SCOPUS:0034499797

VL - 28

JO - Annals of Biomedical Engineering

JF - Annals of Biomedical Engineering

SN - 0090-6964

IS - SUPPL. 1

T2 - 2000 Annual Fall Meeting of the Biomedical Engineering Society

Y2 - 12 October 2000 through 14 October 2000

ER -