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Treballs de Fi de Màster: Recent submissions

Now showing items 6-10 of 561

HRAS physical feature analysis: Predicting protein activation through a random forest classifier

González García, Jorge (10-09-2023)

Over the past decade, increased computational capabilities have enabled us to address biological questions using data-driven methods, particularly where traditional techniques have been limiting. We hypothesize these ...
A CITE-seq analytical pipeline for the identification and molecular characterisation of dual targeting CAR T-cell products

Michelozzi, Ilaria Marina (01-09-2023)

The clinical application of T-cells genetically engineered to express a chimeric antigen receptor (CAR) targeting CD19 is challenged by CD19 negative relapse in B-cell acute lymphoblastic leukaemia (B-ALL). Dual (CD19 ...
Benchmark of different library-free DIA strategies

Folch-Casanovas, Ignasi (10-09-2023)

Abstract Motivation: Proteomics is advancing rapidly and testing and comparing recently published mass spectrometry acquisition and data analysis methods is the best way to keep up with the advances as well as to improve ...
Machine learning-based gene expression signature for classification of endocrine therapy sensitivity in ER+ breast cancer patients

Flamen, Giles (10-09-2023)

Abstract: Endocrine therapy (ET) combined with cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) is the standard treatment for metastatic estrogen receptor-positive (ER+) breast cancer. However, not all patients require this ...
Employing serial Cox modeling for identification of pan-cancer biphasic genes

Hause, Frank (10-09-2023)

Abstract Motivation: Some genes, termed 'biphasic genes', can transition between a preventive and promoting effect on disease recurrence during cancer progression. Identifying these genes poses substantial challenges for ...

Now showing items 6-10 of 561

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