Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants
We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide...
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
The Berkeley Electronic Press ; 2003 |
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| Schlagwörter: |
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| Reproduktion: |
Berkeley Electronic Press Academic Journals |
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| Übergeordnetes Werk: |
In: Statistical applications in genetics and molecular biology - Berkeley, Calif. : Bepress, 2002, 2.2003, 1, art1 |
| Übergeordnetes Werk: |
volume:2 ; year:2003 ; number:1 ; pages:1 |
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| 520 | |a We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. | ||
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(DE-627)NLEJ219571589 DE-627 ger DE-627 rakwb eng XD-US Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants The Berkeley Electronic Press 2003 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. Berkeley Electronic Press Academic Journals Differential Representation Mixture Model Oligonucleotide Microarray Weighted z-test Microarrays Statistical Models Irizarry, Rafael A oth Ooi, Siew Loon oth Wu, Zhijin oth Boeke, Jef D oth In Statistical applications in genetics and molecular biology Berkeley, Calif. : Bepress, 2002 2.2003, 1, art1 Online-Ressource (DE-627)NLEJ219537208 (DE-600)2115012-6 1544-6115 nnns volume:2 year:2003 number:1 pages:1 http://www.bepress.com/sagmb/vol2/iss1/art1 GBV_USEFLAG_U ZDB-1-BEP GBV_NL_ARTICLE AR 2 2003 1 1 2.2003, 1, art1 |
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(DE-627)NLEJ219571589 DE-627 ger DE-627 rakwb eng XD-US Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants The Berkeley Electronic Press 2003 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. Berkeley Electronic Press Academic Journals Differential Representation Mixture Model Oligonucleotide Microarray Weighted z-test Microarrays Statistical Models Irizarry, Rafael A oth Ooi, Siew Loon oth Wu, Zhijin oth Boeke, Jef D oth In Statistical applications in genetics and molecular biology Berkeley, Calif. : Bepress, 2002 2.2003, 1, art1 Online-Ressource (DE-627)NLEJ219537208 (DE-600)2115012-6 1544-6115 nnns volume:2 year:2003 number:1 pages:1 http://www.bepress.com/sagmb/vol2/iss1/art1 GBV_USEFLAG_U ZDB-1-BEP GBV_NL_ARTICLE AR 2 2003 1 1 2.2003, 1, art1 |
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(DE-627)NLEJ219571589 DE-627 ger DE-627 rakwb eng XD-US Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants The Berkeley Electronic Press 2003 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. Berkeley Electronic Press Academic Journals Differential Representation Mixture Model Oligonucleotide Microarray Weighted z-test Microarrays Statistical Models Irizarry, Rafael A oth Ooi, Siew Loon oth Wu, Zhijin oth Boeke, Jef D oth In Statistical applications in genetics and molecular biology Berkeley, Calif. : Bepress, 2002 2.2003, 1, art1 Online-Ressource (DE-627)NLEJ219537208 (DE-600)2115012-6 1544-6115 nnns volume:2 year:2003 number:1 pages:1 http://www.bepress.com/sagmb/vol2/iss1/art1 GBV_USEFLAG_U ZDB-1-BEP GBV_NL_ARTICLE AR 2 2003 1 1 2.2003, 1, art1 |
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(DE-627)NLEJ219571589 DE-627 ger DE-627 rakwb eng XD-US Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants The Berkeley Electronic Press 2003 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. Berkeley Electronic Press Academic Journals Differential Representation Mixture Model Oligonucleotide Microarray Weighted z-test Microarrays Statistical Models Irizarry, Rafael A oth Ooi, Siew Loon oth Wu, Zhijin oth Boeke, Jef D oth In Statistical applications in genetics and molecular biology Berkeley, Calif. : Bepress, 2002 2.2003, 1, art1 Online-Ressource (DE-627)NLEJ219537208 (DE-600)2115012-6 1544-6115 nnns volume:2 year:2003 number:1 pages:1 http://www.bepress.com/sagmb/vol2/iss1/art1 GBV_USEFLAG_U ZDB-1-BEP GBV_NL_ARTICLE AR 2 2003 1 1 2.2003, 1, art1 |
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(DE-627)NLEJ219571589 DE-627 ger DE-627 rakwb eng XD-US Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants The Berkeley Electronic Press 2003 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. Berkeley Electronic Press Academic Journals Differential Representation Mixture Model Oligonucleotide Microarray Weighted z-test Microarrays Statistical Models Irizarry, Rafael A oth Ooi, Siew Loon oth Wu, Zhijin oth Boeke, Jef D oth In Statistical applications in genetics and molecular biology Berkeley, Calif. : Bepress, 2002 2.2003, 1, art1 Online-Ressource (DE-627)NLEJ219537208 (DE-600)2115012-6 1544-6115 nnns volume:2 year:2003 number:1 pages:1 http://www.bepress.com/sagmb/vol2/iss1/art1 GBV_USEFLAG_U ZDB-1-BEP GBV_NL_ARTICLE AR 2 2003 1 1 2.2003, 1, art1 |
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Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants |
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We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. |
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We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. |
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We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ219571589</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707085939.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">090716s2003 xxu|||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ219571589</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="c">XD-US</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Use of Mixture Models in a Microarray-Based Screening Procedure for Detecting Differentially Represented Yeast Mutants</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="b">The Berkeley Electronic Press</subfield><subfield code="c">2003</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">We describe the use of a statistical model in a genome-wide microarray-based yeast genetic screen performed by imposing different genetic selections on thousands of yeast mutants in parallel. A mixture model is fitted to data obtained from oligonucleotide arrays hybridized to 20-mer oligonucleotide ``barcodes'' and a procedure based on the fitted model is used to search for mutants differentially represented under experimental and control conditions. The fitted stochastic model provides a way to assess uncertainty. We demonstrate the usefulness of the model by applying it to the problem of screening for components of the nonhomologous end joining (NHEJ) pathway and identified known components of the NHEJ pathway.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Berkeley Electronic Press Academic Journals</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Differential Representation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mixture Model</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oligonucleotide Microarray</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Weighted z-test</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Microarrays</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Models</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Irizarry, Rafael A</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ooi, Siew Loon</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wu, Zhijin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Boeke, Jef D</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Statistical applications in genetics and molecular biology</subfield><subfield code="d">Berkeley, Calif. : Bepress, 2002</subfield><subfield code="g">2.2003, 1, art1</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ219537208</subfield><subfield code="w">(DE-600)2115012-6</subfield><subfield code="x">1544-6115</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:2</subfield><subfield code="g">year:2003</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.bepress.com/sagmb/vol2/iss1/art1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-BEP</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">2</subfield><subfield code="j">2003</subfield><subfield code="e">1</subfield><subfield code="h">1</subfield><subfield code="y">2.2003, 1, art1</subfield></datafield></record></collection>
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