Pretty Little Liars meets Burn for Burn in this thrilling debut from Wattpad star Ann Valett. Chloe Whittaker is out for revenge. Last year her best friend Monica’s life was unceremoniously ruined by the most popular students at their high school, so this year Chloe plans to take each and every one of them down. She’s traded in her jeans and T-shirts for the latest designer clothes, erased anything on social media that would tie her to Monica (and blow her cover), and carefully figured out how she will befriend the members of the clique, find out their deepest and darkest secrets, and reveal them to the world. Chloe has the perfect plan . . . but there’s one thing she didn’t prepare for. And that’s falling for someone she’s determined to destroy. The closer she gets to uncovering the secrets the in-crowd is determined to cover up, the more she realizes that she is going to have to choose between betraying her oldest friend or the boy who’s captured her heart

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems Contains 45 bioinformatics problems that have been investigated in recent research

This book constitutes the refereed proceedings of the 11th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2007, held in Oakland, CA, USA in April 2007. The 37 revised full papers address all current issues in algorithmic, theoretical, and experimental bioinformatics.