This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.

By embedding Guatemala in recent conceptual and theoretical work in comparative politics and political economy, this volume advances knowledge about country’s politics, economy, and state-society interactions. The contributors examine the stubborn realities and challenges afflicting Guatemala during the post-Peace-Accords-era across the following subjects: the state, subnational governance, state-building, peacebuilding, economic structure and dynamics, social movements, civil-military relations, military coup dynamics, varieties of capitalism, corruption, and the level of democracy. The book deliberately avoids the perils of parochialism by placing the country within larger scholarly debates and paradigms.

This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.