John Quackenbush focuses on Genetics, Gene, Genome, Gene expression profiling and DNA microarray. His research on Gene frequently links to adjacent areas such as Annotation. His Genome research incorporates elements of Gene mapping, Nucleic acid sequence and DNA sequencing.
His research integrates issues of RNA, Microarray, Human genetics and Bioinformatics in his study of Gene expression profiling. John Quackenbush works mostly in the field of Microarray, limiting it down to concerns involving Microarray analysis techniques and, occasionally, Data mining. His DNA microarray study integrates concerns from other disciplines, such as Quantitative trait locus, Computational biology and Candidate gene.
His main research concerns Genetics, Gene, Computational biology, Gene expression profiling and Bioinformatics. His work in Genome, Expressed sequence tag, Genomics, Genome-wide association study and Sequence analysis are all subfields of Genetics research. His Gene study frequently draws connections to adjacent fields such as Disease.
His study in Computational biology is interdisciplinary in nature, drawing from both Phenotype, Transcriptome and Gene regulatory network. John Quackenbush has researched Gene expression profiling in several fields, including Microarray, DNA microarray, Cancer research and Pathology. John Quackenbush interconnects Cancer and Data science in the investigation of issues within Bioinformatics.
His primary scientific interests are in Computational biology, Gene, Gene regulatory network, Transcription factor and Gene expression. His biological study spans a wide range of topics, including Phenotype, Cancer, Regulation of gene expression and Genomics. His Cancer research is multidisciplinary, incorporating elements of Mutation, Germline mutation, Bioinformatics, Cluster analysis and Epigenetics.
His study on Gene is covered under Genetics. His work deals with themes such as Network medicine, Internal medicine, Disease, Gene targeting and Colorectal cancer, which intersect with Gene regulatory network. His research in Transcription factor intersects with topics in Cell culture, Transcriptome and Cell biology.
His scientific interests lie mostly in Computational biology, Gene, Gene regulatory network, Gene expression and Genetics. His work on Network medicine as part of general Computational biology study is frequently linked to Computational analysis, bridging the gap between disciplines. His primary area of study in Gene is in the field of Transcriptional regulation.
Within one scientific family, John Quackenbush focuses on topics pertaining to Bioinformatics under Gene regulatory network, and may sometimes address concerns connected to Exosome, Microvesicles and Breast cancer. His Gene expression research is multidisciplinary, incorporating perspectives in Transcription factor, Immunology, Bronchitis, Regulation of gene expression and Mitochondrion. His Microarray study combines topics from a wide range of disciplines, such as Sample and Data mining.
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TM4: a free, open-source system for microarray data management and analysis.
A.I. Saeed;V. Sharov;J. White;J. Li.
Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.
Alvis Brazma;Pascal Hingamp;John Quackenbush;Gavin Sherlock.
Nature Genetics (2001)
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S. Parker;Michael Mullins;Maggie C.U. Cheang;Samuel Leung.
Journal of Clinical Oncology (2009)
The complete genome sequence of the gastric pathogen Helicobacter pylori
Jean-F. Tomb;Owen White;Anthony R. Kerlavage;Rebecca A. Clayton.
The Transcriptional Landscape of the Mammalian Genome
P. Carninci;T. Kasukawa;S. Katayama;J. Gough.
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J W L Aerts;Emmanuel Rios Velazquez;Ralph T H Leijenaar;Chintan Parmar.
Nature Communications (2014)
Microarray data normalization and transformation
Nature Genetics (2002)
Genomic sequence of a Lyme disease spirochaete, Borrelia burgdorferi
Claire M. Fraser;Sherwood Casjens;Wai Mun Huang;Granger G. Sutton.
COMPUTATIONAL ANALYSIS OF MICROARRAY DATA
Nature Reviews Genetics (2001)
Genesis: cluster analysis of microarray data
Alexander Sturn;John Quackenbush;Zlatko Trajanoski.
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