Publication details
CLLue: Searching for connections among clinical, biological, and molecular features in the dataset of leukemia patients.
| Authors | |
|---|---|
| Year of publication | 2023 |
| Type | Conference abstract |
| MU Faculty or unit | |
| Citation | |
| Description | Today’s analytic techniques produce extensive molecular biological and genetic information for every tumor sample. Understanding the significance of each feature and its connections with a patient's clinical history is one of the greatest challenges. Advanced computational approaches can provide such information, leading to the discovery of novel attributes critical for diagnosis and potentially new classifiers for categorizing patients into distinct groups. We investigated such attributes in a local dataset of patients with chronic lymphocytic leukemia (CLL). |
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