Methods are described for stratifying patient risk for patients with prostate cancer and for providing a treatment recommendation to a patient based on a phosphodiesterase 4D variant 7 (PDE4D7) risk score. A diagnostic kit and a computer program product for the analysis and determination of the PDE4D7 risk score are also described.

Systems and methods are disclosed for simulation of occluded arteries and/or optimization of occlusion-based treatments. One method includes obtaining a patient-specific anatomic model of a patient's vasculature; obtaining an initial computational model of blood flow through the patient's vasculature based on the patient-specific anatomic model; obtaining a post-treatment computational model by modifying portions of the initial computational model based on an occlusion-based treatment; generating a pre-treatment blood flow characteristic using the initial computational model or computing a post-treatment blood flow using the post-treatment computational model; and outputting a representation of the pre-treatment blood flow characteristic or the post-treatment blood flow characteristic.

Provided is an analysis apparatus capable of acquiring a measurement result with high reliability that includes: a signal detection unit; a measuring unit; a first temperature detection unit; a second temperature detection unit; and a calculation unit.

Embodiments of the invention relate to a method, system, and computer program product to construct a gene interaction network by combining two sources of genomic information, namely RNAi imaging data and gene expression data. Tools are provided to gather data, including gene expression data and gene image data, and to compute measurements and relationships, respectively. A graph is constructed with nodes representing genes and edges drawn between the nodes to form gene clusters. The graph is refined such that the shape captures a structural pattern of the cluster.

Embodiments of the invention relate to a method for constructing a gene interaction network by combining two sources of genomic information, namely RNAi imaging data and gene expression data. Tools are provided to gather data, including gene expression data and gene image data, and to compute measurements and relationships, respectively. A graph is constructed with nodes representing genes and edges drawn between the nodes to form gene clusters. The graph is refined such that the shape captures a structural pattern of the cluster.

Disclosed herein are methods of protein quantification and normalization using haloalkylated tryptophan fluorescence. Complex protein samples, i.e., samples that each contain 1,000 or more distinct proteins, from diverse sources that do not have common protein profiles are treated with a halo-substituted organic compound (i.e. haloalkane) that reacts with tryptophan residues to form fluorescent products. Irradiation of the samples with ultraviolet light and the detection and quantification of the resultant fluorescent emissions from all proteins in each sample are then used to obtain comparative values for total protein content among the various samples. The values thus obtained are found to be valid indications of comparative total protein content, despite the fact that the tryptophan levels vary widely among the various proteins in any single sample and the samples, due to the diversity of their origins, tend to differ among themselves in the identities and relative amounts of the proteins that they contain. Protein samples are also normalized to correct for differences in sample dilution, sample loading, and protein transfer inconsistencies, by using stain-free detection of total protein in each of the samples, or detection of subsamples within each sample.

Methods and apparatus for analyte level estimation are provided for filtering measurement data. In an embodiment, a present predicted analyte level estimate is determined. A present corrected analyte level estimate is determined based at least in part on the determined present predicted analyte level estimate and a received present monitored analyte measurement data. One or more of the medication infusion rate or the received present monitored analyte measurement data are filtered using a rate variance filter, wherein when the medication infusion rate exceeds a predetermined threshold level, the rate variance filter is adjusted from a predetermined setting to a modified setting to be responsive to changes in the present monitored analyte measurement data after a predetermined time period lapses.

The present invention generally relates to storing sequence read data. The invention can involve obtaining a plurality of sequence reads from a sample, identifying one or more sets of duplicative sequence reads within the plurality of sequence reads, and storing only one of the sequence reads from each set of duplicative sequence reads in a text file using nucleotide characters.

Embodiments of the invention relate to a constructing a gene interaction network. Tools are provided to compute a gene relationship measure based upon cellular images, and to rank image collections having a similar morphology. The ranking is based upon capturing similarity within the ranked collection by modeling a three dimensional shape of a cellular image stack. The graph is constructed for related images stacks. Nodes in the graph represent genes, and edges drawn between the nodes represent corresponding image stacks in a commonly ranked list. Accordingly, the graphical representation mathematically and visually connects respective genes.

Embodiments of the invention relate to a constructing a gene interaction network. Tools are provided to compute a gene relationship measure based upon cellular images, and to rank image collections having a similar morphology. The ranking is based upon capturing similarity within the ranked collection by modeling a three dimensional shape of a cellular image stack. The graph is constructed for related images stacks. Nodes in the graph represent genes, and edges drawn between the nodes represent corresponding image stacks in a commonly ranked list. Accordingly, the graphical representation mathematically and visually connects respective genes.