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Supervised
thesis

Supervised thesis by Pedro Gabriel Ferreira

When pathways cross other pathways, that themselves, have met other pathways: crabs responses to cocktails of contaminants

Author Sara Sousa Moreira

Degree MSc

Year 2022

Institution UP-FCUP

Modelling and Predicting Acute Ischaemic Stroke Outcomes

Author Tiago Filipe dos Santos

Degree MSc

Year 2022

Institution UP-FCUP

Analysis and comparison tool for multiple variant calling results from germline NGS data with clinical applications

Author Francisco Manuel Oliveira de Almeida

Degree MSc

Year 2021

Institution UP-FCUP

NRfinder: A pipeline for the characterization of the number and type of nuclear receptors in a genomic sequence

Author Marcos António Pereira Domingues

Degree MSc

Year 2021

Institution UP-FCUP

Transcriptomics-based prediction of human phenotypes using scalable and secure machine learning approaches

Author Marta Carolina Cabral Moreno

Degree MSc

Year 2021

Institution UP-FCUP

BioPredictor: a tool to predict the outcome of molecular alterations

Author Marta Patrícia Ribeiro Ferreira

Degree MSc

Year 2021

Institution UP-FCUP

HSA/CD24: a cardiomyocyte precursor biomarker and/or a gateway to cardiomyogenesis

Author Catarina Lopes Alves

Degree MSc

Year 2020

Institution UP-FCUP

Neoantigen Signature Automatized Pipeline to predict Immunotherapy response

Author Francisca Isabel Conrado Dias Ferreira da Silva

Degree MSc

Year 2020

Institution UP-FCUP

A comparative evaluation of dimensionality reduction methods on large-scale gene expression datasets

Author Sara Carolina Martins Ribeiro

Degree MSc

Year 2020

Institution UP-FCUP

Transcriptomics-based prediction of human phenotypes using scalable and secure machine learning approaches

Author Marta Carolina Cabral Moreno

Degree MSc

Year 2020

Institution UP-FCUP

Detecting Abnormal Laboratory Test Results with Machine Learning

Author Rafael José Palhares Santos

Degree MSc

Year 2020

Institution UP-FCUP

Transcriptomics-based prediction of human phenotypes using scalable and secure machine learning approaches

Author Marta Carolina Cabral Moreno

Degree MSc

Year 2019

Institution UP-FCUP

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