1. Twelve families are selected for a genetic linkage study because of a high prevalence of disease. A genome screen is performed, using anonymous DNA markers on all autosomes. Significant evidence is observed for linkage to a marker on chromosome 2 (D2S123) in four families. The LOD score for the remaining families at this locus is significantly negative. How do you interpret this finding? Ans: There is likely to be more than one gene that can be inherited in altered form to increase risk for disease. The technical term for inheritance of more than one gene is genetic heterogeneity-different genes exist; further research is needed to identify remaining candidate regions. Inheritance of more than one gene was illustrated with the breast cancer example and how two genes (BRCA1 and BRCA2) were mapped

Q: Genetic Algorithms is said to be a good idea but has its limitations. Discuss.

A: A genetic algorithm may be a local search technique wont to find approximate solutionsto…

Q: Explain how supervised learning algorithms may benefit from using PCA by using principal component…

A: Introduction: The principal use of principal components analysis (PCA) is to reduce the number of…

Q: String matching needs to be used to detect protein similarities between two or more proteins. What…

A: Given: The string matching procedure that can be used to match the pattern with the string is the…

Q: Why is the mutation rate in genetic algorithms extremely small?

A: Introduction: Computer scientists employ genetic algorithms to query data sets. They are used to get…

Q: Question 1 Given the following conditions of an image, recommend by explaining the suitable…

A: Introduction of image enhancement in image processing:

Q: tion. Often they indicate sequence-specific binding sites for proteins and other important markers.…

A: The solution of the following question is:     CODE 1: class DNAMOTIF:…

Q: Although elitism in genetic algorithms is regarded as a brilliant idea, it is not without its…

A: Introduction: A genetic algorithm is a local search strategy used to identify optimization and…

Q: What characteristic of RNA would allow it to perform the role of a ribozyme? What is the reason for…

A: Introduction: An RNA that can do things is called a coenzyme. Description As the name implies,…

Q: The concept of artificial neural networks (ANN), as well as its definitions and the different…

A: Artificial neural networks (ANNs) are a type of machine learning algorithm that mimics the structure…

Q: The concept of artificial neural networks (ANN), as well as its definitions and the different…

A: The answer to the question is given below:

Q: Explain the several types of ANNs that exist, how they function, and what artificial neural networks…

A: Artificial Neural Networks (ANNs) are a type of machine learning model that is inspired by the…

Q: What are the pros and cons of Recurrent Neural Networks (RNNs) algorithms in artificial intelligence…

A: The objective of this question is to understand the advantages and disadvantages of using Recurrent…

Q: Although elitism in genetic algorithms is regarded as a brilliant idea, it is not without its…

A: An approximate solution to optimization and search issues may be found using a genetic algorithm, a…

Q: Sorting algorithms are one kind of algorithm whose performance may depend upon the data. Choose one…

A: Select any sorting algorithm or other type of algorithm and explain if there are any variations in…

Q: Why is the 'crossover' used in the steps of Genetic Algorithms? Describe in short (Max 20 words)

A: Dear Student, The reason for using crossover in the steps of genetic algorithm is given below -

Q: A Method of Consolidating and Combining EST and mRNA Alignments to a Genome to Enumerate Supported…

A: Introduction: A method of personal development that emphasizes the power of collective awareness and…

Q: What are a genetic programming system's three main evolutionary operators?

A: In this question we need to explain three main evolutionary operators of genetic programming system…

Q: Identify the primary variation between the two types of neural network processing: recurrent and…

A: 1) Neural network processing refers to the way that artificial neural networks, a type of machine…

Q: There is a need for a string matching approach that can be utilized to identify protein similarities…

A: A uniform matching approach that can be used to determine protein similarity between two or more…

Q: What exactly is the purpose of genetic foresight?

A: What is the objective of foresight science? Forensic science is the application of scientific…

Q: How may one learn about mice in various contexts? What is the precise sequence of events? The…

A: At this time, it's important to evaluate the mouse's resources: The mouse contains a chip inside…

Q: Gluconeogenesis is stimulated by elevated amounts of NADH in the liver, which is a necessary step in…

A: Gluconeogenesis is a complex metabolic pathway that allows the liver to synthesize glucose from…

Q: xplain how supervised learning algorithms may benefit from using PCA by using principal component…

A: Principal Component Analysis (PCA) is a dimensionality reduction technique that transforms…

Q: What exactly is the purpose of genetic foresight?

A: Answer the above question are as follows

Q: How has the push for neuromorphic computing influenced the design and operations of ALUs?

A: The push for neuromorphic computing has had a significant influence on the design and operations of…

Q: Exactly what is the goal of foresight in genetics?

A: Foresight: With a >99 per cent identification rate across ethnicities for Alpha Thalassemia,…

Q: How does machine learning contribute to the field of natural language processing (NLP) and what are…

A: Machine Learning (ML) is essential in Natural Language meting out (NLP). NLP refers to the field of…

Q: Although elitism in genetic algorithms is regarded as a brilliant idea, it is not without its…

A: Introduction: A genetic algorithm is a local search strategy used to identify optimization and…

Q: Why is planning ahead useful in genetics?

A: As genetic testing technologies continue to improve, planning ahead will become even more important…

Q: Which features of the Genetic Algorithm based goal search are comparable to, and which are distinct…

A: According to the information given:- We have to describe the  features of the Genetic Algorithm…

Q: Relating to Procedures Completed on the Posterior Segment (67005-67299): The code range ____ to…

A: Relating to Procedures Completed on the Posterior Segment (67005-67299):   The code range ____ to…

Q: The basic functions of a genetic algorithm are:

A: Answer to the given question:   Genetic Algorithms(GAs) are versatile heuristic pursuit algorithms…

Q: It is important to have an in-depth conversation about the benefits and applications of…

A: Convolutional Neural Networks (CNNs) are a type of neural network that is commonly used in computer…

Q: The basic functions of a genetic algorithm are:

A: Introduction: ls with high fitness ratings that have the ability to pass on their genes to…

Q: Despite the fact that the coronavirus (COVID-19) pandemic has greatly disrupted operations of…

A: The question expects us to discuss the opportunities that covid-19 has created in the field of:: -…

Q: Computer Science In a steady-state evolutionary algorithm, each offspring chromosome joins the…

A: In  Steady-State Genetic Algorithm , steady-state meaning that there are no generations.  The main…

Q: Following are the important parameters in Genetic Algorithm (GA), • Crossover • Mutation •…

A: The Answer is in step-2.

Q: A linear discriminated function: A threshold function Can be implemented by one Neuron Is the And…

A: The following solutions are

Q: What, exactly, is the point of genetic prediction?

A: The point of genetic prediction is to use an individual's genetic information to make predictions…