Filled with larger-than-life strong, wilful and unconventional women, The Ballad of Siddy Church tells of the lasting effect this larrikin mob has on the life of Eadie Wilt. At the centre of the mayhem is Siddy Church. "My grandmother was a difficult woman, you could not get around it. She was born on three different occasions in three different locations and she said her name was Siddy Church. Late at night she would sit like a giant curious toad, her heavy-lidded eyes turning with her head, her pupils like magic bullets about the room. Her past was too big and diverse for her to govern, people talked about her shady past. She had relinquished her right to her own story".
Filled with larger-than-life strong, wilful and unconventional women, The Ballad of Siddy Church tells of the lasting effect this larrikin mob has on the life of Eadie Wilt. At the centre of the mayhem is Siddy Church. "My grandmother was a difficult woman, you could not get around it. She was born on three different occasions in three different locations and she said her name was Siddy Church. Late at night she would sit like a giant curious toad, her heavy-lidded eyes turning with her head, her pupils like magic bullets about the room. Her past was too big and diverse for her to govern, people talked about her shady past. She had relinquished her right to her own story".
The past three decades have witnessed an explosion of what is now referred to as high-dimensional `omics' data. Bioinformatics Methods: From Omics to Next Generation Sequencing describes the statistical methods and analytic frameworks that are best equipped to interpret these complex data and how they apply to health-related research. Covering the technologies that generate data, subtleties of various data types, and statistical underpinnings of methods, this book identifies a suite of potential analytic tools, and highlights commonalities among statistical methods that have been developed. An ideal reference for biostatisticians and data analysts that work in collaboration with scientists and clinical investigators looking to ensure rigorous application of available methodologies. Key Features: Survey of a variety of omics data types and their unique features Summary of statistical underpinnings for widely used omics data analysis methods Description of software resources for performing omics data analyses
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