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).
Related projects:	e-Infrastruktura CZ Advanced sequencing methods for deciphering structural variants in cancer genome Advanced molecular testing for aggregate diagnosis and management of DLBCL patients: engagement of gene expression profiling, liquid biopsy and long-read sequencing National institute for cancer research