2023 - Research.com Genetics in United Kingdom Leader Award
2006 - Fellow of the Royal Society, United Kingdom
His primary scientific interests are in Genetics, Nonsynonymous substitution, Phylogenetic tree, Phylogenetics and Evolutionary biology. His biological study spans a wide range of topics, including Statistics and Substitution. Ziheng Yang has included themes like Synonymous substitution, Neutral theory of molecular evolution, Molecular evolution and Selection in his Nonsynonymous substitution study.
His Phylogenetic tree research is multidisciplinary, relying on both Algorithm, Genome and Genetic algorithm. His study on Phylogenetics also encompasses disciplines like
Ziheng Yang mostly deals with Genetics, Evolutionary biology, Phylogenetic tree, Phylogenetics and Statistics. His Genetics research incorporates themes from Substitution and Selection. The Evolutionary biology study combines topics in areas such as Genetic Speciation, Ecology, Lineage and Coalescent theory.
His Phylogenetic tree study frequently links to other fields, such as Gamma distribution. As a part of the same scientific family, Ziheng Yang mostly works in the field of Statistics, focusing on Inference and, on occasion, Ancestral reconstruction. The various areas that Ziheng Yang examines in his Nonsynonymous substitution study include Positive selection, Molecular evolution, Neutral theory of molecular evolution and Transversion.
Ziheng Yang spends much of his time researching Coalescent theory, Bayesian inference, Bayesian probability, Evolutionary biology and Phylogenetic tree. His Coalescent theory study combines topics from a wide range of disciplines, such as Species complex, Introgression, Tree, Locus and Gene flow. His Bayesian inference research integrates issues from Molecular clock, Bayes' theorem, Econometrics and Model selection.
As part of his studies on Evolutionary biology, he often connects relevant subjects like Phylogenetics. His Phylogenetic tree study deals with the bigger picture of Genetics. His Genetics research includes themes of Data mining and Bioinformatics.
His main research concerns Bayesian inference, Bayesian probability, Coalescent theory, Bayes' theorem and Phylogenetic tree. His Bayesian probability research incorporates elements of Computational biology and Locus. To a larger extent, he studies Statistics with the aim of understanding Bayes' theorem.
His work deals with themes such as Evolutionary biology, Tree, Phylogenetics and Inference, which intersect with Phylogenetic tree. His Inference research includes elements of Genetics, Concatenation, Data mining and Tree rearrangement. Ziheng Yang interconnects Spurious relationship, Selection and Econometrics in the investigation of issues within Posterior probability.
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PAML 4: Phylogenetic Analysis by Maximum Likelihood
Molecular Biology and Evolution (2007)
PAML: a program package for phylogenetic analysis by maximum likelihood
Maximum likelihood phylogenetic estimation from DNA sequences with variable rates over sites: approximate methods
Journal of Molecular Evolution (1994)
Codon-Substitution Models for Heterogeneous Selection Pressure at Amino Acid Sites
Ziheng Yang;Rasmus Nielsen;Nick Goldman;Anne Mette Krabbe Pedersen.
A codon-based model of nucleotide substitution for protein-coding DNA sequences.
N Goldman;Z Yang.
Molecular Biology and Evolution (1994)
Bayes Empirical Bayes Inference of Amino Acid Sites Under Positive Selection
Ziheng Yang;Wendy Shuk Wan Wong;Rasmus Nielsen.
Molecular Biology and Evolution (2005)
A space-time process model for the evolution of DNA sequences.
Probability Distribution of Molecular Evolutionary Trees: A New Method of Phylogenetic Inference
Bruce Rannala;Ziheng Yang.
Journal of Molecular Evolution (1996)
Statistical methods for detecting molecular adaptation.
Ziheng Yang;Joseph P. Bielawski.
Trends in Ecology and Evolution (2000)
Likelihood Models for Detecting Positively Selected Amino Acid Sites and Applications to the HIV-1 Envelope Gene
Rasmus Nielsen;Ziheng Yang;Ziheng Yang.
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