The collector's edition of the hit series, Beasts of Bray Road has arrived.Relive Travis's terrifying true story of when he was stalked by a strange bipedal creature back when he was a boy. What could it have wanted from a mere child? The answer might disturb you.Get it now.

Left in captivity, Travis scrambles to find a way to defend himself against his abductor. But even if he somehow escapes, what happens if he encounters the mysterious, highly aggressive dogman that roams the local woods?Beasts of Bray Road: Chicken Blood is book 3 in the suspenseful series, co-written by best selling author, Tom Lyons.Get it now.

Still lost in the woods and without most of his memory, Travis's luck only worsens when he falls into a hidden pit. Not long after, he finds himself face to face with an unexpected animal. But the surprises don't end there.Beasts of Bray Road: Farmstead is book 2 in the suspenseful series, co-written by best selling author, Tom Lyons.Get it now.

Many know that the area surrounding Elkhorn, Wisconsin has been a hot spot for dogman sightings; however, few know of the horror that Travis Clark and a few others lived through because of the creature. Over twenty years later, he has decided to share this true story with the world.Beasts of Bray Road: The Accident is book 1 in the suspenseful series, co-written by best selling author, Tom Lyons.Get it now.

Do you struggle with insecurity and anxiety about yourself, the future, and making decisions about what you will do with your life? Are you interested in faith, God, and living a life that makes a difference, but are uncertain how the Bible and God are relevant to our modern way of life? Are you ready to say "No!" to a life of existence and "Yes!" to days that are filled with purpose, following a path that embraces your truest self?This book will help readers reclaim their hope for...

The development of effective methods for the prediction of ontological annotations is an important goal in computational biology, yet evaluating their performance is difficult due to problems caused by the structure of biomedical ontologies and incomplete annotations of genes. This work proposes an information-theoretic framework to evaluate the performance of computational protein function prediction. A Bayesian network is used, structured according to the underlying ontology, to model th...

Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exp...

The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank reversal. The maximum eigenvalue threshold method is proposed as the new consistency index for the...

Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experimentation of the theory and concepts. The application focuses on systems biology wit...

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear...

Medical Informatics is defined as an interdisciplinary field studying the effective use of biomedical data, information and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health. To emphasize the broad character it is called Biomedical Informatics. The course LV 444.152 consists of the following 12 lectures: 1. Introduction: Computer Science meets Life Sciences, challenges and future directions; 2. Back to the future: Fundament...

This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both cl...