An empirical test of the relationship between the bootstrap and likelihood ratio support in maximum likelihood phylogenetic analysis

Cladistics ◽  
2021 ◽  
Author(s):  
Denis Jacob Machado ◽  
Fernando Portella de Luna Marques ◽  
Larry Jiménez‐Ferbans ◽  
Taran Grant
Keyword(s):  
Phylogenetic Analysis ◽  
Maximum Likelihood ◽  
Likelihood Ratio ◽  
Empirical Test ◽  
The Relationship

scholarly journals Exploring the relationship of Homalosilpha and Mimosilpha (Blattodea, Blattidae, Blattinae) from a morphological and molecular perspective, including a description of four new species

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10618
Author(s):  
Shuran Liao ◽  
Yishu Wang ◽  
Duting Jin ◽  
Rong Chen ◽  
Zongqing Wang ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
New Species ◽  
Bayesian Inference ◽  
Maximum Likelihood ◽  
Phylogenetic Trees ◽  
Close Relationship ◽  
Relationship Of ◽  
The Relationship ◽  
Six Genes

This study utilized six genes (12S, 16S, 18S, 28S, COII and H3) from a total of 40 samples to construct maximum likelihood (ML) and Bayesian inference (BI) phylogenetic trees in order to infer the relationships between the morphologically similar genera Homalosilpha Stål, 1874 and Mimosilpha Bey-Bienko, 1957. The phylogenetic analysis showed the two genera have a close relationship and were recovered as sister groups based on ML and BI analyses. Four new species are described among these samples, i.e., Homalosilpha obtusangula sp. nov., Homalosilpha recta sp. nov., Homalosilpha alba sp. nov. and Homalosilpha clavellata sp. nov. based on morphological and COI data. A key to the worldwide Homalosilpha is provided.

The Association between Depression and Gastroesophageal Reflux based on Phylogenetic Analysis of miRNA Biomarkers

2020 ◽  
Vol 27 (38) ◽  
pp. 6536-6547 ◽  
Author(s):  
Yi-Hau Chen ◽  
Hsiuying Wang
Keyword(s):  
Phylogenetic Analysis ◽  
Major Depression ◽  
Gastroesophageal Reflux Disease ◽  
Gastroesophageal Reflux ◽  
Reflux Disease ◽  
Research Work ◽  
Epidemiological Evidence ◽  
The Relationship ◽  
Global Population ◽  
Shed Light

A number of clinical studies have revealed that there is an association between major depression (MD) and gastroesophageal reflux disease (GERD). Both the diseases are shown to affect a large proportion of the global population. More advanced studies for understanding the comorbidity mechanism of these two diseases can shed light on developing new therapies of both diseases. To the best of our knowledge, there has not been any research work in the literature investigating the relationship between MD and GERD using their miRNA biomarkers. We adopt a phylogenetic analysis to analyze their miRNA biomarkers. From our analyzed results, the association between these two diseases can be explored through miRNA phylogeny. In addition to evidence from the phylogenetic analysis, we also demonstrate epidemiological evidence for the relationship between MD and GERD based on Taiwan biobank data.

scholarly journals Phylogenetic Analysis to Explore the Association Between Anti-NMDA Receptor Encephalitis and Tumors Based on microRNA Biomarkers

Biomolecules ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 572 ◽  
Author(s):  
Wang
Keyword(s):  
Phylogenetic Analysis ◽  
Nmda Receptor ◽  
Phylogenetic Trees ◽  
Tumor Resection ◽  
Autoimmune Disorder ◽  
Control Of Gene Expression ◽  
Nmda Receptor Encephalitis ◽  
Nmdar Encephalitis ◽  
Non Coding Rna ◽  
The Relationship

MicroRNA (miRNA) is a small non-coding RNA that functions in the epigenetics control of gene expression, which can be used as a useful biomarker for diseases. Anti-NMDA receptor (anti-NMDAR) encephalitis is an acute autoimmune disorder. Some patients have been found to have tumors, specifically teratomas. This disease occurs more often in females than in males. Most of them have a significant recovery after tumor resection, which shows that the tumor may induce anti-NMDAR encephalitis. In this study, I review microRNA (miRNA) biomarkers that are associated with anti-NMDAR encephalitis and related tumors, respectively. To the best of my knowledge, there has not been any research in the literature investigating the relationship between anti-NMDAR encephalitis and tumors through their miRNA biomarkers. I adopt a phylogenetic analysis to plot the phylogenetic trees of their miRNA biomarkers. From the analyzed results, it may be concluded that (i) there is a relationship between these tumors and anti-NMDAR encephalitis, and (ii) this disease occurs more often in females than in males. This sheds light on this issue through miRNA intervention.

Metric for Disassembly and Reuse Decisions: Formulation and Validation

2008 ◽  
Author(s):  
Vijitashwa Pandey ◽  
Deborah Thurston
Keyword(s):  
Maximum Likelihood ◽  
Value Function ◽  
Choice Theory ◽  
Decision Makers ◽  
Maximum Likelihood Estimates ◽  
Likelihood Method ◽  
Maximum Value ◽  
Long Range Planning ◽  
The Relationship ◽  
The Value Function

Design for disassembly and reuse focuses on developing methods to minimize difficulty in disassembly for maintenance or reuse. These methods can gain substantially if the relationship between component attributes (material mix, ease of disassembly etc.) and their likelihood of reuse or disposal is understood. For products already in the marketplace, a feedback approach that evaluates willingness of manufacturers or customers (decision makers) to reuse a component can reveal how attributes of a component affect reuse decisions. This paper introduces some metrics and combines them with ones proposed in literature into a measure that captures the overall value of a decision made by the decision makers. The premise is that the decision makers would choose a decision that has the maximum value. Four decisions are considered regarding a component’s fate after recovery ranging from direct reuse to disposal. A method on the lines of discrete choice theory is utilized that uses maximum likelihood estimates to determine the parameters that define the value function. The maximum likelihood method can take inputs from actual decisions made by the decision makers to assess the value function. This function can be used to determine the likelihood that the component takes a certain path (one of the four decisions), taking as input its attributes, which can facilitate long range planning and also help determine ways reuse decisions can be influenced.

New Stochastic Orders Based on Double Truncation

1997 ◽  
Vol 11 (3) ◽  
pp. 395-402 ◽  
Author(s):  
Jorge Navarro ◽  
Felix Belzunce ◽  
Jose M. Ruiz
Keyword(s):  
Likelihood Ratio ◽  
Random Variable ◽  
Stochastic Orders ◽  
Likelihood Ratio Order ◽  
Reliability Measures ◽  
Life Distributions ◽  
The Relationship ◽  
Double Truncation

The purpose of this paper is to study definitions and characterizations of orders based on reliability measures related with the doubly truncated random variable X[x, y] = (X|x ≤ X ≤ y). The relationship between these orderings and various existing orderings of life distributions are discussed. Moreover, we give two new characterizations of the likelihood ratio order based on double truncation. These new orders complete a general diagram between orders defined from truncation.

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