Estimating node degree in bait-prey graphs (2008)
Denise Scholtens, Tony Chiang, Wolfgang Huber
Motivation: Proteins work together to drive biological processes in cellular machines. Summarizing global and local properties of the set of protein interactions, the interactome, is necessary for...
Estimating node degree in bait-prey graphs (2008)
Scholtens, Denise, Chiang, Tony, Huber, Wolfgang, Gentleman, Robert
Motivation: Proteins work together to drive biological processes in cellular machines. Summarizing global and local properties of the set of protein interactions, the interactome, is necessary for...
Chiang, Tony, Li, Nianhua, Orchard, Sandra, Kerrien, Samuel, Hermjakob, Henning, Gentleman, Robert, ...
Motivation: The IntAct repository is one of the largest and most widely used databases for the curation and storage of molecular interaction data. These datasets need to be analyzed by computational...
Coverage and error models of protein-protein interaction data by directed graph analysis (2007)
Chiang, Tony, Scholtens, Denise, Sarkar, Deepayan, Gentleman, Robert, Huber, Wolfgang
Abstract Using a directed graph model for bait to prey systems and a multinomial error model, we assessed the error statistics in all published large-scale datasets for Saccharomyces cerevisiae and...
Design and Evaluation of a Discrete Wavelet Transform Based Multi-Signal Receiver (2006)
General purpose receivers of today are designed with a broad bandwidth so that the receiver can accept a wide range of signal frequencies. These receivers usually accept one signal along with any...
Design and Evaluation of a Discrete Wavelet Transform Based Multi-Signal Receiver
General purpose receivers of today are designed with a broad bandwidth so that the receiver can accept a wide range of signal frequencies. These receivers usually accept one signal along with any...
Coverage and error models of protein-protein interaction data by directed graph analysis
Chiang, Tony, Scholtens, Denise, Sarkar, Deepayan, Gentleman, Robert, Huber, Wolfgang
Directed graph and multinomial error models were used to assess and characterize the error statistics in all published large-scale datasets for Saccharomyces cerevisiae