Improving the accuracy of expression data analysis in time course experiments using resampling

As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expressi...
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Autor*in:	Walter, Wencke [verfasserIn] Gaquerel, Emmanuel [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	25 October 2014

Schlagwörter:	ARSER Biological replicates Circadian rhythms Gene expression data HAYSTACK Resampling

Anmerkung:	Gesehen am 26.06.2017
Umfang:	9

Übergeordnetes Werk:	Enthalten in: BMC bioinformatics - London : BioMed Central, 2000, 15(2014) Artikel-Nummer 352, 9 Seiten
Übergeordnetes Werk:	volume:15 ; year:2014 ; pages:352 ; extent:9

Links:	Volltext

DOI / URN:	10.1186/s12859-014-0352-8

Katalog-ID:	1560177977

Internformat


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245	1	0	\|a Improving the accuracy of expression data analysis in time course experiments using resampling \|c Wencke Walter, Bernd Striberny, Emmanuel Gaquerel, Ian T. Baldwin, Sang-Gyu Kim and Ines Heiland
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520			\|a As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions.
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912			\|a GBV_ILN_74
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912			\|a GBV_ILN_213
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912			\|a GBV_ILN_702
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912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2008
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912			\|a GBV_ILN_2010
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912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2190
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912			\|a GBV_ILN_4112
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oclc_num	1340975946
hierarchy_sort_str	25 October 2014
publishDate	2014
allfields	10.1186/s12859-014-0352-8 doi (DE-627)1560177977 (DE-576)490177972 (DE-599)BSZ490177972 (OCoLC)1340975946 DE-627 ger DE-627 rda eng Walter, Wencke verfasserin (DE-588)1136339094 (DE-627)892655453 (DE-576)490140432 aut Improving the accuracy of expression data analysis in time course experiments using resampling Wencke Walter, Bernd Striberny, Emmanuel Gaquerel, Ian T. Baldwin, Sang-Gyu Kim and Ines Heiland 25 October 2014 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 26.06.2017 As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions. ARSER Biological replicates Circadian rhythms Gene expression data HAYSTACK Resampling Gaquerel, Emmanuel verfasserin (DE-588)1124181636 (DE-627)877879494 (DE-576)482380500 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 15(2014) Artikel-Nummer 352, 9 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:15 year:2014 pages:352 extent:9 http://dx.doi.org/10.1186/s12859-014-0352-8 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 15 2014 352 9 15(2014) Artikel-Nummer 352, 9 Seiten 2013 01 DE-16-250 2972524934 00 --%%-- --%%-- --%%-- --%%-- l01 26-06-17 2403 01 DE-LFER 2973515572 00 --%%-- --%%-- n --%%-- l01 10-07-17 2403 01 DE-LFER http://dx.doi.org/10.1186/s12859-014-0352-8 2013 01 DE-16-250 00 s hd2014 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_6 2013 01 DE-16-250 03 s s_352 2013 01 DE-16-250 04 p (DE-627)1556782721 Gaquerel, Emmanuel 2013 01 DE-16-250 04 k (DE-627)1416737987 Centre for Organismal Studies Heidelberg (COS) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_3
spelling	10.1186/s12859-014-0352-8 doi (DE-627)1560177977 (DE-576)490177972 (DE-599)BSZ490177972 (OCoLC)1340975946 DE-627 ger DE-627 rda eng Walter, Wencke verfasserin (DE-588)1136339094 (DE-627)892655453 (DE-576)490140432 aut Improving the accuracy of expression data analysis in time course experiments using resampling Wencke Walter, Bernd Striberny, Emmanuel Gaquerel, Ian T. Baldwin, Sang-Gyu Kim and Ines Heiland 25 October 2014 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 26.06.2017 As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions. ARSER Biological replicates Circadian rhythms Gene expression data HAYSTACK Resampling Gaquerel, Emmanuel verfasserin (DE-588)1124181636 (DE-627)877879494 (DE-576)482380500 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 15(2014) Artikel-Nummer 352, 9 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:15 year:2014 pages:352 extent:9 http://dx.doi.org/10.1186/s12859-014-0352-8 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 15 2014 352 9 15(2014) Artikel-Nummer 352, 9 Seiten 2013 01 DE-16-250 2972524934 00 --%%-- --%%-- --%%-- --%%-- l01 26-06-17 2403 01 DE-LFER 2973515572 00 --%%-- --%%-- n --%%-- l01 10-07-17 2403 01 DE-LFER http://dx.doi.org/10.1186/s12859-014-0352-8 2013 01 DE-16-250 00 s hd2014 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_6 2013 01 DE-16-250 03 s s_352 2013 01 DE-16-250 04 p (DE-627)1556782721 Gaquerel, Emmanuel 2013 01 DE-16-250 04 k (DE-627)1416737987 Centre for Organismal Studies Heidelberg (COS) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_3
allfields_unstemmed	10.1186/s12859-014-0352-8 doi (DE-627)1560177977 (DE-576)490177972 (DE-599)BSZ490177972 (OCoLC)1340975946 DE-627 ger DE-627 rda eng Walter, Wencke verfasserin (DE-588)1136339094 (DE-627)892655453 (DE-576)490140432 aut Improving the accuracy of expression data analysis in time course experiments using resampling Wencke Walter, Bernd Striberny, Emmanuel Gaquerel, Ian T. Baldwin, Sang-Gyu Kim and Ines Heiland 25 October 2014 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 26.06.2017 As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions. ARSER Biological replicates Circadian rhythms Gene expression data HAYSTACK Resampling Gaquerel, Emmanuel verfasserin (DE-588)1124181636 (DE-627)877879494 (DE-576)482380500 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 15(2014) Artikel-Nummer 352, 9 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:15 year:2014 pages:352 extent:9 http://dx.doi.org/10.1186/s12859-014-0352-8 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 15 2014 352 9 15(2014) Artikel-Nummer 352, 9 Seiten 2013 01 DE-16-250 2972524934 00 --%%-- --%%-- --%%-- --%%-- l01 26-06-17 2403 01 DE-LFER 2973515572 00 --%%-- --%%-- n --%%-- l01 10-07-17 2403 01 DE-LFER http://dx.doi.org/10.1186/s12859-014-0352-8 2013 01 DE-16-250 00 s hd2014 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_6 2013 01 DE-16-250 03 s s_352 2013 01 DE-16-250 04 p (DE-627)1556782721 Gaquerel, Emmanuel 2013 01 DE-16-250 04 k (DE-627)1416737987 Centre for Organismal Studies Heidelberg (COS) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_3
allfieldsGer	10.1186/s12859-014-0352-8 doi (DE-627)1560177977 (DE-576)490177972 (DE-599)BSZ490177972 (OCoLC)1340975946 DE-627 ger DE-627 rda eng Walter, Wencke verfasserin (DE-588)1136339094 (DE-627)892655453 (DE-576)490140432 aut Improving the accuracy of expression data analysis in time course experiments using resampling Wencke Walter, Bernd Striberny, Emmanuel Gaquerel, Ian T. Baldwin, Sang-Gyu Kim and Ines Heiland 25 October 2014 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 26.06.2017 As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions. ARSER Biological replicates Circadian rhythms Gene expression data HAYSTACK Resampling Gaquerel, Emmanuel verfasserin (DE-588)1124181636 (DE-627)877879494 (DE-576)482380500 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 15(2014) Artikel-Nummer 352, 9 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:15 year:2014 pages:352 extent:9 http://dx.doi.org/10.1186/s12859-014-0352-8 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 15 2014 352 9 15(2014) Artikel-Nummer 352, 9 Seiten 2013 01 DE-16-250 2972524934 00 --%%-- --%%-- --%%-- --%%-- l01 26-06-17 2403 01 DE-LFER 2973515572 00 --%%-- --%%-- n --%%-- l01 10-07-17 2403 01 DE-LFER http://dx.doi.org/10.1186/s12859-014-0352-8 2013 01 DE-16-250 00 s hd2014 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_6 2013 01 DE-16-250 03 s s_352 2013 01 DE-16-250 04 p (DE-627)1556782721 Gaquerel, Emmanuel 2013 01 DE-16-250 04 k (DE-627)1416737987 Centre for Organismal Studies Heidelberg (COS) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_3
allfieldsSound	10.1186/s12859-014-0352-8 doi (DE-627)1560177977 (DE-576)490177972 (DE-599)BSZ490177972 (OCoLC)1340975946 DE-627 ger DE-627 rda eng Walter, Wencke verfasserin (DE-588)1136339094 (DE-627)892655453 (DE-576)490140432 aut Improving the accuracy of expression data analysis in time course experiments using resampling Wencke Walter, Bernd Striberny, Emmanuel Gaquerel, Ian T. Baldwin, Sang-Gyu Kim and Ines Heiland 25 October 2014 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 26.06.2017 As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions. ARSER Biological replicates Circadian rhythms Gene expression data HAYSTACK Resampling Gaquerel, Emmanuel verfasserin (DE-588)1124181636 (DE-627)877879494 (DE-576)482380500 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 15(2014) Artikel-Nummer 352, 9 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:15 year:2014 pages:352 extent:9 http://dx.doi.org/10.1186/s12859-014-0352-8 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 15 2014 352 9 15(2014) Artikel-Nummer 352, 9 Seiten 2013 01 DE-16-250 2972524934 00 --%%-- --%%-- --%%-- --%%-- l01 26-06-17 2403 01 DE-LFER 2973515572 00 --%%-- --%%-- n --%%-- l01 10-07-17 2403 01 DE-LFER http://dx.doi.org/10.1186/s12859-014-0352-8 2013 01 DE-16-250 00 s hd2014 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_6 2013 01 DE-16-250 03 s s_352 2013 01 DE-16-250 04 p (DE-627)1556782721 Gaquerel, Emmanuel 2013 01 DE-16-250 04 k (DE-627)1416737987 Centre for Organismal Studies Heidelberg (COS) 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_3
language	English
source	Enthalten in BMC bioinformatics 15(2014) Artikel-Nummer 352, 9 Seiten volume:15 year:2014 pages:352 extent:9
sourceStr	Enthalten in BMC bioinformatics 15(2014) Artikel-Nummer 352, 9 Seiten volume:15 year:2014 pages:352 extent:9
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institution	findex.gbv.de
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topic_facet	ARSER Biological replicates Circadian rhythms Gene expression data HAYSTACK Resampling
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container_title	BMC bioinformatics
authorswithroles_txt_mv	Walter, Wencke @@aut@@ Gaquerel, Emmanuel @@aut@@
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title	Improving the accuracy of expression data analysis in time course experiments using resampling
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title_full	Improving the accuracy of expression data analysis in time course experiments using resampling Wencke Walter, Bernd Striberny, Emmanuel Gaquerel, Ian T. Baldwin, Sang-Gyu Kim and Ines Heiland
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title_sort	improving the accuracy of expression data analysis in time course experiments using resampling
title_auth	Improving the accuracy of expression data analysis in time course experiments using resampling
abstract	As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions. Gesehen am 26.06.2017
abstractGer	As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions. Gesehen am 26.06.2017
abstract_unstemmed	As time series experiments in higher eukaryotes usually obtain data from different individuals collected at the different time points, a time series sample itself is not equivalent to a true biological replicate but is, rather, a combination of several biological replicates. The analysis of expression data derived from a time series sample is therefore often performed with a low number of replicates due to budget limitations or limitations in sample availability. In addition, most algorithms developed to identify specific patterns in time series dataset do not consider biological variation in samples collected at the same conditions. Gesehen am 26.06.2017
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title_short	Improving the accuracy of expression data analysis in time course experiments using resampling
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Improving the accuracy of expression data analysis in time course experiments using resampling

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