Description: A two-stage regression method that can be used when various input data types are correlated, for example gene expression and methylation in drug response prediction. In the first stage it uses the upstream features (such as methylation) to predict the response variable (such as drug response), and in the second stage it uses the downstream features (such as gene expression) to predict the residuals of the first stage. In our manuscript (Aben et al., 2016), we show that using TANDEM prevents the model from being dominated by gene expression and that the features selected by TANDEM are more interpretable.

Description: A two-stage regression method that can be used when various input data types are correlated, for example gene expression and methylation in drug response prediction. In the first stage it uses the upstream features (such as methylation) to predict the response variable (such as drug response), and in the second stage it uses the downstream features (such as gene expression) to predict the residuals of the first stage. In our manuscript (Aben et al., 2016, <doi:10.1093/bioinformatics/btw449>), we show that using TANDEM prevents the model from being dominated by gene expression and that the features selected by TANDEM are more interpretable.

Packaged: 2019-11-25 12:22:51 UTC; nanneaben

Title: Time Course Analysis of Variance for Microarray
Author: Baiyu Zhou <zhouby98@stanford.edu> and Weihong Xu
Description: Functions for performing analysis of variance on time
URL: Wing Wong's lab (http://www.stanford.edu/group/wonglab/) &

Title: Manage Tick-by-Tick Transaction Data
Author: Francesco Calvori, Fabrizio Cipollini, Giampiero M. Gallo and 'gzstream' authors.
SystemRequirements: zlib headers and library
Description: Manager of tick-by-tick transaction data that performs 'cleaning', 'aggregation' and 'import' in an efficient and fast way. The package engine, written in C++, exploits the 'zlib' and 'gzstream' libraries to handle gzipped data without need to uncompress them. 'Cleaning' and 'aggregation' are performed according to Brownlees and Gallo (2006). Currently, TAQMNGR processes raw data from WRDS (Wharton Research Data Service).
Packaged: 2015-02-22 08:11:51 UTC; cipollini