Publication details

CLLue: Searching for connections among clinical, biological, and molecular features in the dataset of leukemia patients.

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Authors

REIGL Tomáš NAVRKALOVÁ Veronika PORC Jakub Paweł PÁL Karol STRÁNSKÁ Kamila POSPÍŠILOVÁ Šárka PLEVOVÁ Karla

Year of publication 2023
Type Conference abstract
MU Faculty or unit

Central European Institute of Technology

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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