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Analytical Biochemistry
|
May 17, 2020
Reverse transcriptase kinetics for one-step RT-PCR
Nick A Rejali, Aisha M Zuiter, John F Quackenbush, et al.
Biomolecular Detection and Quantification
|
July 10, 2019
The kinetic requirements of extreme qPCR
Adam L Millington, Jessica A Houskeeper, John F Quackenbush, et al.
Genome Biology
|
August 4, 2004
Statistical modeling for selecting housekeeper genes
Aniko Szabo, Charles M Perou, Mehmet Karaca, et al.
Human Mutation
|
March 19, 2008
High-throughput amplicon scanning of the TP53 gene in breast cancer using high-resolution fluorescent melting curve analyses and automatic mutation calling
Roy Bastien, Tracey B Lewis, Jason E Hawkes, et al.
Clinical Chemistry
|
May 26, 2007
Agreement in breast cancer classification between microarray and quantitative reverse transcription PCR from fresh-frozen and formalin-fixed, paraffin-embedded tissues
Michael Mullins, Laurent Perreard, John F Quackenbush, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
November 22, 2013
Isolation of circulating microRNAs from microvesicles found in human plasma
John F Quackenbush, Pamela B Cassidy, Lawrence M Pfeffer, et al.
Nature Genetics
|
June 28, 2008
ESR1 gene amplification in breast cancer: a common phenomenon?
Lindsay A Brown, Jeremy Hoog, Suet-Feung Chin, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
September 6, 2023
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S Parker, Michael Mullins, Maggie C U Cheang, et al.
Breast Cancer Research : BCR
|
April 22, 2006
Classification and risk stratification of invasive breast carcinomas using a real-time quantitative RT-PCR assay
Laurent Perreard, Cheng Fan, John F Quackenbush, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
February 11, 2009
Supervised risk predictor of breast cancer based on intrinsic subtypes
Joel S Parker, Michael Mullins, Maggie C U Cheang, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Analytical Biochemistry
|
May 17, 2020
Reverse transcriptase kinetics for one-step RT-PCR
Nick A Rejali, Aisha M Zuiter, John F Quackenbush, et al.
Biomolecular Detection and Quantification
|
July 10, 2019
The kinetic requirements of extreme qPCR
Adam L Millington, Jessica A Houskeeper, John F Quackenbush, et al.
Genome Biology
|
August 4, 2004
Statistical modeling for selecting housekeeper genes
Aniko Szabo, Charles M Perou, Mehmet Karaca, et al.
Human Mutation
|
March 19, 2008
High-throughput amplicon scanning of the TP53 gene in breast cancer using high-resolution fluorescent melting curve analyses and automatic mutation calling
Roy Bastien, Tracey B Lewis, Jason E Hawkes, et al.
Clinical Chemistry
|
May 26, 2007
Agreement in breast cancer classification between microarray and quantitative reverse transcription PCR from fresh-frozen and formalin-fixed, paraffin-embedded tissues
Michael Mullins, Laurent Perreard, John F Quackenbush, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
November 22, 2013
Isolation of circulating microRNAs from microvesicles found in human plasma
John F Quackenbush, Pamela B Cassidy, Lawrence M Pfeffer, et al.
Nature Genetics
|
June 28, 2008
ESR1 gene amplification in breast cancer: a common phenomenon?
Lindsay A Brown, Jeremy Hoog, Suet-Feung Chin, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
September 6, 2023
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S Parker, Michael Mullins, Maggie C U Cheang, et al.
Breast Cancer Research : BCR
|
April 22, 2006
Classification and risk stratification of invasive breast carcinomas using a real-time quantitative RT-PCR assay
Laurent Perreard, Cheng Fan, John F Quackenbush, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
February 11, 2009
Supervised risk predictor of breast cancer based on intrinsic subtypes
Joel S Parker, Michael Mullins, Maggie C U Cheang, et al.
Page
of 2