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Showing result 1 - 5 of 50 essays matching the above criteria.

  1. 1. Comparing dropout regularization algorithms for convolutional neural networks identifying malignant cells for diagnosis of leukemia

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Hampus Engström; Alexander Koutakis; [2023]
    Keywords : classification; Bernoulli; Gaussian; spatial; machine learning; cancer; myeloid; myeloproliferative neoplasms;

    Abstract : Fast and high quality classifications of cells inflicted with malignant mutations is essential for diagnosing patients with different forms of leukemia, to quickly be able give patients the crucial care they need. Convolutional neural networks (CNNs) can be trained and used for this purpose. READ MORE

  3. 2. A comparison between two computational tools estimating tumor purity using NGS data

    University essay from Linköpings universitet/Institutionen för fysik, kemi och biologi

    Author : My Eles; [2023]
    Keywords : ;

    Abstract : In 2020, cancer accounted for almost 20% of all deaths in the United States. Cancer is highly individual, and individualized treatments are essential in the battle against the disease. The tumor microenvironment is complex, and the cancer genome contains mutations driving the cancer. READ MORE

  4. 3. Identifying cell type-specific proliferation signatures in spatial transcriptomics data and inferring interactions driving tumour growth

    University essay from Uppsala universitet/Neuroonkologi och neurodegeneration

    Author : Felix Wærn; [2023]
    Keywords : spatial transcriptomics; breast cancer; dimensionality reduction; bioinformatics; deconvolution;

    Abstract : Cancer is a dangerous disease caused by mutations in the host's genome that makes the cells proliferateuncontrollably and disrupts bodily functions. The immune system tries to prevent this, but tumours have methods ofdisrupting the immune system's ability to combat the cancer. READ MORE

  5. 4. Evaluating targeted combination therapies in EGFR wild-type non-small-cell lung cancer using mass spectrometry-based proteomics

    University essay from Lunds universitet/Institutionen för immunteknologi

    Author : Johan Thorsson; [2023]
    Keywords : Biology and Life Sciences;

    Abstract : Survival for non-small cell lung cancer (NSCLC) patients has been significantly improved by epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in patients with EGFR mutations. However, certain subpopulations of NSCLC patients with EGFR wild-type (wt) status have been shown to also respond to EGFR-TKIs. READ MORE

  6. 5. Investigations of miR-34a structure and dynamics by SHAPE MaP and optimal time between transfection and modification by qPCR

    University essay from KTH/Proteinvetenskap

    Author : Ellinor Lindén; [2023]
    Keywords : SHAPE MaP; qPCR; miRNA; HNF4α; mRNA-34a; SHAPE MaP; qPCR; miRNA; HNF4α; mRNA-34a;

    Abstract : microRNA (miRNA) är korta icke-kodande RNA sekvenser som har fått ökande uppmärksamhet då de kan binda till mRNA och styra vårt genuttryck. Omkring trettio procent av våra proteinkodande gener styrs av miRNA. miRNA binder till mRNA vilket hindrar dess translation eller leder till nedbrytning av mRNA. READ MORE