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Lung Cancer Dataset Lung cancer dataset without attribute definitions 56 features are given for each case 32 Text Classification 1992 [270] [271] Z. Hong et al. Arrhythmia Dataset Data for a group of patients, of which some have cardiac arrhythmia. 276 features for each instance. 452 Text Classification 1998 [272] [273] H. Altay et al.
Cancer LncRNA Census (CLC) Database of long-noncoding RNAs causally implicated in cancer through in vivo, in vitro and other evidence. [15] BIGTranscriptome: High-confidence of coding and noncoding transcriptomes assembled with hundreds of pseudo-stranded and stranded RNA-seq datasets. [16] lncRNAKB
The Cancer Genome Atlas →: National Cancer Institute, United States Copy number, Mutation, Methylation, Gene Expression, miRNA expression: Yes Yes Human: No Yes Yes CancerResource →: University Medicine Berlin, Germany Roche Cancer Genome Database (RCGDB) Roche Diagnostics, Penzberg, Germany Network of Cancer Genes →: King's College ...
The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.
The Cancer Genome Anatomy Project (CGAP), created by the National Cancer Institute (NCI) in 1997 and introduced by Al Gore, is an online database on normal, pre-cancerous and cancerous genomes. It also provides tools for viewing and analysis of the data, allowing for identification of genes involved in various aspects of tumor progression.
JOPLIN, Mo. — November is a time to bring awareness to the second most common cancer in both men and women. The American Cancer Society says lung cancer accounts for one in five of all cancer ...
Collaborating with a team of researchers, he conducted a radiomic analysis of 1,019 patients with lung or head-and-neck cancer using computed tomography (CT) imaging data, identifying prognostic radiomic features that showed significant power in independent datasets of the cancer patients. [21]
SimBioSys anticipates FDA clearance for its breast cancer surgical planning tool in late 2023 with an expansion to other solid tumors to follow. Validation to lung and prostate cancer is already underway. While awaiting FDA approval, SimBioSys is commercializing the technology for use in patient education and drug development.
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