What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, Gene, Ancient DNA, Genome-wide association study and Coalescent theory.
The study incorporates disciplines such as Inference, Computational biology and Bayesian inference in addition to Genetics.
His work deals with themes such as Interaction network and Evolutionary dynamics, which intersect with Computational biology.
His SNP, Wild type and Gene chip analysis study, which is part of a larger body of work in Gene, is frequently linked to Fibroblast growth factor receptor 3, bridging the gap between disciplines.
Polymerase chain reaction is closely connected to DNA in his research, which is encompassed under the umbrella topic of Ancient DNA.
His Genome-wide association study study incorporates themes from Case-control study, Locus and Gene–environment interaction.
His most cited work include:
- Monitoring endangered freshwater biodiversity using environmental DNA (657 citations)
- Estimating the size of the human interactome (553 citations)
- Diagnostic and Prognostic MicroRNAs in Stage II Colon Cancer (438 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Statistical physics, Applied mathematics, Computational biology and Single-nucleotide polymorphism.
His research investigates the connection between Genetics and topics such as Ancient DNA that intersect with issues in DNA.
His research integrates issues of Simple and Markov chain in his study of Statistical physics.
His Applied mathematics study combines topics from a wide range of disciplines, such as Chemical reaction, Graph, Steady state, Ordinary differential equation and Conservation law.
His Single-nucleotide polymorphism research is covered under the topics of Genotype and Gene.
In his research, Evolutionary biology and Mutation is intimately related to Coalescent theory, which falls under the overarching field of Recombination.
He most often published in these fields:
- Genetics (32.72%)
- Statistical physics (11.52%)
- Applied mathematics (10.60%)
What were the highlights of his more recent work (between 2016-2021)?
- Statistical physics (11.52%)
- Markov chain (9.22%)
- Applied mathematics (10.60%)
In recent papers he was focusing on the following fields of study:
His main research concerns Statistical physics, Markov chain, Applied mathematics, Pure mathematics and Chemical reaction.
His studies in Statistical physics integrate themes in fields like Graphical model and Stationary distribution.
His Markov chain research is multidisciplinary, relying on both Stochastic process, Recursion, Ergodicity, Polynomial and Transition rate matrix.
The various areas that he examines in his Applied mathematics study include Steady state, Conservation law, Type and Exponential function.
He focuses mostly in the field of Chemical reaction, narrowing it down to topics relating to Bistability and, in certain cases, Parameterized complexity.
Carsten Wiuf has researched Inference in several fields, including Genetics, Correctness, Whole genome sequencing, Normal distribution and DNA sequencing.
Between 2016 and 2021, his most popular works were:
- Identifying parameter regions for multistationarity. (67 citations)
- Powerful Inference with the D-Statistic on Low-Coverage Whole-Genome Data (32 citations)
- Graphical reduction of reaction networks by linear elimination of species. (23 citations)
In his most recent research, the most cited papers focused on:
Carsten Wiuf mostly deals with Statistical physics, Ordinary differential equation, Applied mathematics, Steady State theory and Bistability.
His biological study focuses on Autocatalytic reaction.
His Ordinary differential equation research incorporates themes from Parameter space, Conservation law, Ode and Parameterized complexity.
His Parameterized complexity study necessitates a more in-depth grasp of Algorithm.
His research in Applied mathematics tackles topics such as Dimension which are related to areas like Reduction.
While the research belongs to areas of Bistability, Carsten Wiuf spends his time largely on the problem of Flow, intersecting his research to questions surrounding Chemical reaction.
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