This is the client app of Luigi web application which allows you to submit an image of your case easily without special equipment and view the retrieved results on the smartphone.
Luigi: Large Scale HistoPathological Image Retrieval System
Luigi web application has the following features.
- Use a deep texture representation to calculate relevance metrics between pathological images, which enables the proposed system to find relevant images that do not depend on spatial information, such as the location of cells.
- Not require extra learning; thus, any tissues, cells, and even artifacts can be searched without training.
The histopathological images of Luigi are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/.
Cerami et al. The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data. Cancer Discovery. May 2012 2; 401.
Gao et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci. Signal. 6, pl1 (2013).
Here, you can view the various mutation statistics of selected similar cancer samples.
Currently, the following genomic information is available.
- Frequent somatic mutations (SNV, CNV or gene fusions)
- Gene expression levels
- Cytolytic activity (CYT) proposed by MS Rooney et al. (defined as the log-average of GZMA and PRF1 expression in TPM)
- CD274 (also known as PD-L1) gene expression in TPM
- Mutational signatures in COSMIC database
- Signature 3, which is associated with failure of DNA double-strand break-repair by homologous recombination.
- Signature 4, which is likely due to tobacco mutagens.
- Signature 6, which is associated with defective DNA mismatch repair and is found in microsatellite unstable tumors.
- Signature 16, which may be associated with drinking alcohols.
This function may help you obtain further insight into the molecular basis of your cancer sample.