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  1. 1
    Proposed methods for testing and selecting the ERCC external RNA controls

    Proposed methods for testing and selecting the ERCC external RNA controls mā Laura Reid

    I whakaputaina 2005
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  2. 2
    Using ANOVA to Analyze Microarray Data

    Using ANOVA to Analyze Microarray Data mā Gary A. Churchill

    I whakaputaina 2004
    Whiwhi kuputuhi katoa
    Revisão
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  3. 3
    Normalizing DNA Microarray Data

    Normalizing DNA Microarray Data mā Martin Bilban, Lukas K. Buehler, Steven R. Head, Gernot Desoyé, Vito Quaranta

    I whakaputaina 2002
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Revisão
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  4. 4
    Hybridization Cross-Reactivity within Homologous Gene Families on Glass cDNA Microarrays

    Hybridization Cross-Reactivity within Homologous Gene Families on Glass cDNA Microarrays mā Elizabeth Evertsz, Janice Au-Young, Michael Ruvolo, Abelyn Lim, Mark A. Reynolds

    I whakaputaina 2001
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  5. 5
    De novo assembly of the Carcinus maenas transcriptome and characterization of innate immune system pathways

    De novo assembly of the Carcinus maenas transcriptome and characterization of innate immune system pathways mā Bas Verbruggen, Lisa K. Bickley, Eduarda M. Santos, Charles R. Tyler, Grant D. Stentiford, Kelly S. Bateman, Ronny van Aerle

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  6. 6
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering

    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering mā Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, S. Amari

    I whakaputaina 2007
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  7. 7
    SMART amplification combined with cDNA size fractionation in order to obtain large full-length clones

    SMART amplification combined with cDNA size fractionation in order to obtain large full-length clones mā Ruth Wellenreuther, Ingo Schupp, Annemarie Poustka, Stefan Wiemann

    I whakaputaina 2004
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  8. 8
    Genome BLAST distance phylogenies inferred from whole plastid and whole mitochondrion genome sequences

    Genome BLAST distance phylogenies inferred from whole plastid and whole mitochondrion genome sequences mā Alexander F. Auch, Stefan R. Henz, Barbara R. Holland, Markus Göker

    I whakaputaina 2006
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    Artigo
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  9. 9
    Fast and sensitive multiple alignment of large genomic sequences

    Fast and sensitive multiple alignment of large genomic sequences mā Michael Brudno, Michael A. Chapman, Berthold Göttgens, Serafim Batzoglou, Burkhard Morgenstern

    I whakaputaina 2003
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  10. 10
    A new non-linear normalization method for reducing variability in DNA microarray experiments

    A new non-linear normalization method for reducing variability in DNA microarray experiments mā Christopher T. Workman, Lars Juhl Jensen, Hanne Jarmer, Randy M. Berka, Laurent Gautier, Henrik Bjørn Nielser, Hans-Henrik Saxild, Claus Henrik Nielsen, Søren Brunak, Steen Knudsen

    I whakaputaina 2002
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  11. 11
    Understanding the pathogenesis of Alzheimer’s disease: will RNA‐Seq realize the promise of transcriptomics?

    Understanding the pathogenesis of Alzheimer’s disease: will RNA‐Seq realize the promise of transcriptomics? mā Greg T. Sutherland, Michael Janitz, Jillian J. Kril

    I whakaputaina 2010
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Revisão
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  12. 12
    Gene finding in novel genomes

    Gene finding in novel genomes mā Ian Korf

    I whakaputaina 2004
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    Artigo
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  13. 13
    Performance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlations

    Performance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlations mā Richard Shippy, Timothy J. Sendera, Randall Lockner, Chockalingam Palaniappan, Tamma Kaysser-Kranich, George S. Watts, John P. Alsobrook

    I whakaputaina 2004
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  14. 14
    Alternative mapping of probes to genes for Affymetrix chips

    Alternative mapping of probes to genes for Affymetrix chips mā Laurent Gautier, Morten Hylander Møller, Lennart Friis‐Hansen, Steen Knudsen

    I whakaputaina 2004
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  15. 15
    Optimized LOWESS normalization parameter selection for DNA microarray data

    Optimized LOWESS normalization parameter selection for DNA microarray data mā John A Berger, Sampsa Hautaniemi, Anna‐Kaarina Järvinen, Henrik Edgren, S.K. Mitra, Jaakko Astola

    I whakaputaina 2004
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  16. 16
    The individual and common repertoire of DNA-binding transcriptional regulators of Corynebacterium glutamicum, Corynebacterium efficiens, Corynebacterium diphtheriae and Corynebacterium jeikeium deduced from the complete genome sequences

    The individual and common repertoire of DNA-binding transcriptional regulators of Corynebacterium glutamicum, Corynebacterium efficiens, Corynebacterium diphtheriae and Corynebacte... mā Iris Brune, Karina Brinkrolf, Jörn Kalinowski, Alfred Pühler, Andreas Tauch

    I whakaputaina 2005
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  17. 17
    Core oxidative stress response in Aspergillus nidulans

    Core oxidative stress response in Aspergillus nidulans mā Tamás Emri, Vera Etelka Szarvas, Erzsébet Orosz, Károly Antal, Hee-Soo Park, Kap‐Hoon Han, Jae‐Hyuk Yu, István Pócsi

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  18. 18
    Design and implementation of microarray gene expression markup language (MAGE-ML)

    Design and implementation of microarray gene expression markup language (MAGE-ML) mā Paul T. Spellman, Michael Miller, Jason Stewart, Charles Troup, Uğis Sarkans, Steve Chervitz, Derek Bernhart, Gavin Sherlock, Catherine A. Ball, Marc Lepage, Marcin Świątek, W.L. Marks, Jason Gonçalves, Scott Markel, Daniel Iordan, Mohammadreza Shojatalab, Angel Pizarro, Joe White, Robert Hubley, Eric W. Deutsch, Martin Senger, Bruce J. Aronow, Alan J. Robinson, Doug Bassett, Christian J. Stoeckert, Alvis Brāzma

    I whakaputaina 2002
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  19. 19
    Ribosome profiling reveals translation control as a key mechanism generating differential gene expression in Trypanosoma cruzi

    Ribosome profiling reveals translation control as a key mechanism generating differential gene expression in Trypanosoma cruzi mā Pablo Smircich, Guillermo Eastman, Saloê Bispo, Marı́a Ana Duhagon, Eloise Pavão Guerra-Slompo, Beatríz Garat, Samuel Goldenberg, David J. Munroe, Bruno Dallagiovanna, Fabíola Holetz, José Sotelo‐Silveira

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  20. 20
    Predicting DNA-binding sites of proteins from amino acid sequence

    Predicting DNA-binding sites of proteins from amino acid sequence mā Changhui Yan, Michael Terribilini, Feihong Wu, Robert L. Jernigan, Drena Dobbs, Vasant Honavar

    I whakaputaina 2006
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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