High-Throughput Architecture for Discovering Combination Cancer Therapeutics

Discovering cancer vulnerabilities using high-throughput micro-RNA screening

Micro-RNAs (miRNAs) are potent regulators of gene expression and cellular phenotype. Each miRNA has the potential to target hundreds of transcripts within the cell thus controlling fundamental cellular processes such as survival and proliferation. Here, we exploit this important feature of miRNA networks to discover vulnerabilities in cancer phenotype, and map miRNA-target relationships across ...

A high-throughput screening approach to discovering

While many models of biological object recognition share a common set of ‘‘broad-stroke’’ properties, the performance of any one model depends strongly on the choice of parameters in a particular instantiation of that model—e.g., the number of units per layer, the size of pooling kernels, exponents in normalization operations, etc. Since the number of such parameters (explicit or implicit) is t...

Bilevel Architecture for High-Throughput Computing

We have prototyped and analyzed design of a novel approach for the high throughput computing – a core element for the emerging HENP computational grid. Independent event processing in HENP is well suited for computing in parallel. The prototype facilitates use of inexpensive mass-market components by providing fault tolerant resilience (instead of the expensive total system reliability) via hig...

Discovering contextual connections between biological processes using high-throughput data

Information Architecture in High Throughput Screening

This paper describes a high throughput screening architecture for functional genomics screens that use high content methods. Case studies were performed using the Yin case study approach. Additionally a detailed model is provided using the Method Engineering methodology to identify deficiencies. This study shows that current architectures lack interchangeability and functionality. © 2012 Publis...