What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Gene expression profiling, Gene expression, Computational biology, Genetics and Toxicogenomics.
His Gene expression profiling research is multidisciplinary, relying on both Gene chip analysis, Microarray analysis techniques, Signal transduction and Data mining.
To a larger extent, he studies Gene with the aim of understanding Gene expression.
In general Gene, his work in Genomics is often linked to Enzyme inducer linking many areas of study.
His Computational biology research integrates issues from False positive paradox, Linear model, Statistics and Statistical power.
In general Genetics study, his work on RNA-Seq, Transcriptome and Proteomics often relates to the realm of Data selection, thereby connecting several areas of interest.
His most cited work include:
- Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models (1058 citations)
- The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (648 citations)
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium (640 citations)
What are the main themes of his work throughout his whole career to date?
Gene expression, Gene, Gene expression profiling, Computational biology and Genetics are his primary areas of study.
His research in Gene expression intersects with topics in Inflammation, Molecular biology and Signal transduction.
His Gene expression profiling research includes elements of Phenotype, Microarray analysis techniques, DNA microarray and Data mining.
His studies deal with areas such as Classifier, Gene signature, RNA-Seq and Proteomics as well as DNA microarray.
His research on Computational biology frequently links to adjacent areas such as Toxicogenomics.
He works mostly in the field of Microarray, limiting it down to topics relating to Bioinformatics and, in certain cases, Toxicity and Acetaminophen.
He most often published in these fields:
- Gene expression (36.69%)
- Gene (30.94%)
- Gene expression profiling (31.65%)
What were the highlights of his more recent work (between 2017-2021)?
- Computational biology (21.58%)
- Gene expression (36.69%)
- Transcriptome (11.51%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computational biology, Gene expression, Transcriptome, Gene and DNA methylation.
The study incorporates disciplines such as RNA-Seq, Target enrichment, Genomics, Variant allele and Toxicogenomics in addition to Computational biology.
Pierre R. Bushel is interested in DNA microarray, which is a field of Gene expression.
His Transcriptome research includes themes of Cellular differentiation, Drug and Gene expression profiling.
His studies in Gene expression profiling integrate themes in fields like Biological pathway and Genetic variation.
The various areas that Pierre R. Bushel examines in his Gene study include Normalization and Rand index, Cluster analysis.
Between 2017 and 2021, his most popular works were:
- A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics. (41 citations)
- Mitochondrial nicotinamide adenine dinucleotide reduced (NADH) oxidation links the tricarboxylic acid (TCA) cycle with methionine metabolism and nuclear DNA methylation. (36 citations)
- Revealing a human p53 universe. (31 citations)
In his most recent research, the most cited papers focused on:
Pierre R. Bushel mostly deals with Methylation, DNA methylation, Gene, Computational biology and Epigenetics.
His Methylation study improves the overall literature in Genetics.
His Gene study is mostly concerned with Gene expression, P53 binding, Genetic variation, Gene expression profiling and Biological pathway.
His primary area of study in Gene expression is in the field of Cistrome.
Pierre R. Bushel combines subjects such as DNA microarray, Transcriptome, Toxicogenomics and Drug with his study of Computational biology.
His Epigenetics study combines topics in areas such as Mitochondrion and Mitochondrial DNA.
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