Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean network...
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Background: Genomics and proteomics analyses regularly involve the simultaneous test of hundreds of hypotheses, either on numerical or categorical data. To correct for the occurre...
Anyela Camargo, Francisco Azuaje, Haiying Wang, Hu...
Background: As the demands for competency-based education grow, the need for standardsbased tools to allow for publishing and discovery of competency-based learning content is mor...
Ravi Teja Bhupatiraju, William R. Hersh, Valerie S...
Background: High throughput laboratory techniques generate huge quantities of scientific data. Laboratory Information Management Systems (LIMS) are a necessary requirement, dealin...
James A. Morris, Simon A. Gayther, Ian J. Jacobs, ...
Background: Computer simulations are of increasing importance in modeling biological phenomena. Their purpose is to predict behavior and guide future experiments. The aim of this ...
Faheem Mitha, Timothy A. Lucas, Feng Feng, Thomas ...
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
Zoran Bursac, C. Heath Gauss, David Keith Williams...