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A General Theory of Genetic Effects
The natural and orthogonal interactions (NOIA) model was originally developed not only as one more step in the improvement of genetic models but... -
The Primeval Theory of Genetic Effects
The basics of Fisher’s theory of genetic effects and variance decomposition on which population and quantitative genetics were established are here... -
Variance Decomposition, Gene Map** and Average Excesses: Orthogonality in the Spotlight
Models of genetic effects—i.e. genotype-to-phenotype (GP) maps—are expressions providing partitions of the genotypic values into components with... -
Genetic Effects in Populations Under Linkage Equilibrium
In this chapter, models of genetic effects at the population level are provided that cover all the genetic architectures considered in the previous... -
AI for Longevity: Getting Past the Mechanical Turk Model Will Take Good Data
We examine the promise and progress of AI for healthy longevityLongevity, discuss the reasons for success and failures, and anticipate the future. AI... -
In Silico Screening of Life-Extending Drugs Using Machine Learning and Omics Data
GeroprotectorsGeroprotector are compounds that extend lifespan of model organisms. Currently more than 200 geroprotectorsGeroprotector are known,... -
AI in Genomics and Epigenomics
GeneticsGenetics is an important factor determining the predisposition to the development of many diseases and influencing the overall life... -
Leveraging Algorithmic and Human Networks to Cure Human Aging: Holistic Understanding of Longevity via Generative Cooperative Networks, Hybrid Bayesian/Neural/Logical AI and Tokenomics-Mediated Crowdsourcing
AgingAging is best understood as a gradual, sometimes punctuated, change in the dynamical regime of a self-organizing network composed of... -
The Role of Assistive Technology in Regulating the Behavioural and Psychological Symptoms of Dementia
In this paper, we review types of assistive technologiesAssistive technology developed to aid people with dementiaDementia to and assist them with... -
Infectious Disease Models
With the current pandemic associated with the SARS-Cov-2 virus, the interest among the public and particularly among students toward models of... -
Population Genetics Models
In Chap. 4 , we defined and studied the notions of equilibrium state or fixed point, stability, and cobwebbing,... -
Host-Parasitoid Models
We can also develop models for the interaction between hosts and parasitoid insects. We will see these are related to our previous predator-prey... -
Organism-Organism Interaction Models
The models introduced in Chap. 7 considered a single group of organisms. Here, we will expand this into groups... -
Continuous Time Models
The exponential growth of a culture of bacteria in a limited growth medium would not continue indefinitely without bounds due to the limitation of... -
Discrete Time Models
The previous chapter presented a model of exponential growth. However, we also saw that in a realistic situation of growth of a bacterial culture... -
Correction to: Trust and Credit in Organizations and Institutions
Chapter 2: Figures 2.3 (b), 2.5 (b), 2.6 (d,e) and 2.8 (a,b,c,d) have been replaced with new figures. -
Detailed ODE/PDE Model Analysis
The right hand side (RHS) terms and left hand side (LHS) time derivatives of the ODE/PDE models of Chapter 3 are computed and displayed to provide... -
Host Cell Proteins with Cross Diffusion
A model is developed for the production of two proteins within a host cell that diffuse outward through the cell membrane with cross diffusion added... -
Implementation of the ODE/PDE Models
The ODE/PDE model of Chapter 1 for a single virus protein is implemented in R routines consisting of a main program and an ODE/MOL subordinate... -
Multiple Sequence Alignment
A multiple sequence alignment (MSA) is an alignment of three or more sequences. Given n strings S1, ... , Sn (...