What is she best known for?
The fields of study she is best known for:
Her primary areas of study are Genetics, Quantitative trait locus, Gene, Epigenetics and Genetic variation.
The various areas that she examines in her Genetics study include Statistics and Model selection.
Her Quantitative trait locus study integrates concerns from other disciplines, such as Genetic marker, Pairwise comparison and Family-based QTL mapping, Gene mapping.
Rebecca W. Doerge works mostly in the field of Family-based QTL mapping, limiting it down to topics relating to Inclusive composite interval mapping and, in certain cases, Resampling, Statistical model, Nonparametric statistics, Permutation and Genetic linkage.
Her Epigenetics research is multidisciplinary, incorporating elements of Heterochromatin, Molecular biology, Polyploid and DNA methylation.
Rebecca W. Doerge has researched Genetic variation in several fields, including Gene expression profiling, Functional genomics, Association mapping, Residual and Computational biology.
Her most cited work include:
- Empirical threshold values for quantitative trait mapping. (4397 citations)
- Permutation Tests for Multiple Loci Affecting a Quantitative Character (1014 citations)
- Role of transposable elements in heterochromatin and epigenetic control (1002 citations)
What are the main themes of her work throughout her whole career to date?
Rebecca W. Doerge focuses on Genetics, Quantitative trait locus, Gene, Computational biology and Statistics.
Her Genetics study is mostly concerned with Gene expression, Genome, Epigenetics, DNA microarray and Regulation of gene expression.
Her Quantitative trait locus study incorporates themes from Evolutionary biology, Genetic marker, Locus, Inclusive composite interval mapping and Family-based QTL mapping.
Her Inclusive composite interval mapping study integrates concerns from other disciplines, such as Resampling and Genetic variation.
Her work in Gene tackles topics such as Data mining which are related to areas like Inference, Bayesian probability and Gene regulatory network.
Her Computational biology research includes elements of DNA sequencing and Bioinformatics.
She most often published in these fields:
- Genetics (43.48%)
- Quantitative trait locus (32.30%)
- Gene (18.63%)
What were the highlights of her more recent work (between 2012-2021)?
- Genetics (43.48%)
- Multiple comparisons problem (6.83%)
- Statistics (14.29%)
In recent papers she was focusing on the following fields of study:
Rebecca W. Doerge mostly deals with Genetics, Multiple comparisons problem, Statistics, Quantitative trait locus and Null.
Her Genetics study often links to related topics such as Heterosis.
Her research integrates issues of Biotechnology and Plant breeding in her study of Statistics.
Her Quantitative trait locus research incorporates elements of Statistical power, Mixed model, Plant ecology, Inbred strain and Random effects model.
The study incorporates disciplines such as Resampling, Test statistic and Inclusive composite interval mapping in addition to Statistical power.
Her Epigenetics study incorporates themes from Genome evolution, DNA methylation, Polyploid, Genetic redundancy and Gene duplication.
Between 2012 and 2021, her most popular works were:
- The fate of duplicated genes in a polyploid plant genome. (188 citations)
- Molecular response to the pathogen Phytophthora sojae among ten soybean near isogenic lines revealed by comparative transcriptomics (44 citations)
- Cytokinins secreted by Agrobacterium promote transformation by repressing a plant myb transcription factor. (40 citations)
In her most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Genetics, Gene, Transcriptome, Null and False discovery rate.
Rebecca W. Doerge performs multidisciplinary study on Genetics and Progenitor in her works.
Her Transcriptome research is multidisciplinary, incorporating elements of Jasmonic acid, Follicular phase, Internal medicine and Physiology.
Rebecca W. Doerge has researched False discovery rate in several fields, including Independence, Exact test, Inference and Binomial test.
Her Gene expression research incorporates themes from Genome evolution, Polyploid, Genetic redundancy, Gene duplication and Epigenetics.
Her research in the fields of Linear regression and Statistical model overlaps with other disciplines such as External variable.
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