Rank Ordering Plate Data Facilitates Data Visualization and Normalization in High-Throughput Screening

cDNA Microarray Data Normalization

Data Analysis Approaches in High Throughput Screening

With the advances in biotechnology, identification of new therapeutic targets, and better un‐ derstanding of human diseases, pharmaceutical companies and academic institutions have accelerated their efforts in drug discovery. The pipeline to obtain therapeutics often involves target identification and validation, lead discovery and optimization, pre-clinical animal studies, and eventually clini...

Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose–response data

MOTIVATION Most data analysis tools for high-throughput screening (HTS) seek to uncover interesting hits for further analysis. They typically assume a low hit rate per plate. Hit rates can be dramatically higher in secondary screening, RNAi screening and in drug sensitivity testing using biologically active drugs. In particular, drug sensitivity testing on primary cells is often based on dose-r...

Comprehensive Analysis of High-Throughput Screening Data

High-Throughput Screening (HTS) data in its entirety is valuable raw material for the drug-discovery process. It provides the most complete information about the biological activity of a company's compounds. However, its quantity, complexity and heterogeneity require novel, sophisticated approaches in data analysis. At GeneData, we are developing methods for large-scale, synoptical mining of sc...

Rank based statistics in analyzing high-throughput genomic data

Acknowledgments I would like to thank my advisors Dr. Zohar Yakhini from Agilent Labs and the Technion and Prof. Benny Chor from Tel Aviv University for their guidance and support. I would especially like to thank Zohar for giving me the opportunity to work in this exciting field of computational biology. Specifically, for his dedicated attention, his inexhaustible patience, for the captivating...