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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    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.

  3. Tumor marker - Wikipedia

    en.wikipedia.org/wiki/Tumor_marker

    The ideal tumor marker has the following characteristics: Specificity to a certain type of tumor; Should detect the malignancy earlier than a clinical diagnosis; Be highly sensitive to avoid false positives; The level of tumor marker should indicate the state of the malignancy to be able to monitor treatment response.

  4. Molecular diagnostics - Wikipedia

    en.wikipedia.org/wiki/Molecular_diagnostics

    Molecular diagnostics tool can be used for cancer risk assessment. For example, the BRCA1/2 test by Myriad Genetics assesses women for lifetime risk of breast cancer. [22] Also, some cancers are not always employed with clear symptoms. It is useful to analyze people when they do not show obvious symptoms and thus can detect cancer at early stages.

  5. Cancer biomarker - Wikipedia

    en.wikipedia.org/wiki/Cancer_biomarker

    A biomarker may be used to see how well the body responds to a treatment for a disease or condition. Also called molecular marker and signature molecule." [18] In cancer research and medicine, biomarkers are used in three primary ways: [19] To help diagnose conditions, as in the case of identifying early stage cancers (diagnostic)

  6. Prognosis marker - Wikipedia

    en.wikipedia.org/wiki/Prognosis_marker

    A panel of epigenetic methylation marker has been explored for prognosis of ovarian cancer, and it is reported that the panel exhibited high specificity and sensitivity (both above 70%) as a screen marker. [5] Epigenetic markers have also shown promising potential as prognostic markers for bladder cancer. [6]

  7. The Cancer Genome Atlas - Wikipedia

    en.wikipedia.org/wiki/The_Cancer_Genome_Atlas

    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.

  8. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  9. PD-L1 - Wikipedia

    en.wikipedia.org/wiki/PD-L1

    PD-L1 is shown to be highly expressed in a variety of malignancies, particularly lung cancer. In order to anticipate the effectiveness of gene therapy or systemic immunotherapy in blocking the PD-1 and PD-L1 checkpoints, PD-L1 might be employed as a prognostic marker and a target for anti-cancer immunity.