Sökning: "Girish Pulinkala"

Hittade 1 uppsats innehållade orden Girish Pulinkala.

  1. 1. Predicting Biomarkers/ Candidate Genes involved in iALL, using Rough Sets based Interpretable Machine Learning Model.

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Girish Pulinkala; [2023]
    Nyckelord :Machine Learning; Cancer; Oncology; Acute Lymphoblastic Leukemia; Rough sets; Pathway analysis; Feature selection; Bioinformatics; Computational Biology.;

    Sammanfattning : Acute lymphoblastic leukemia is a hematological malignancy that gains a proliferative advantage and originates in the bone marrow. One of the more common genetic alterations in ALL is KMT2A-rearrangement which constitutes 80% of the cases of ALL in infants. LÄS MER