Emanuel Gonçalves

Has grant

Assistant Professor

Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência

Portugal

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About

Emanuel Gonçalves is an Assistant Professor at Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento in Lisbon, Portugal. His research focuses on synthetic lethality in cancer drug discovery, multi-omics data integration methods, and the prognostic classification of sarcomas. He has published extensively on topics including cancer cell dependencies, proteomic mapping, and the use of organoid models for cancer research.

Recent Grants

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EMBO short-term fellowship

Open Date: 2015-09-01

Close Date: 2015-12-01

Grant: Close

Scholarship award “Bolsa de Estudo Por Mérito”

Open Date: 2013-01-01

Close Date:

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ERASMUS placement fellowship

Open Date: 2012-01-01

Close Date: 2012-09-01

Articles (18)

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2025

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2020

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2020

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2020

Collaborators (26)

Claudine Chaouiya

Associate Professor

Aix-Marseille University

FRANCE

Emanuel Gonçalves

Research Interests

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About

Recent Grants

Articles (18)

A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches

Synthetic lethality in cancer drug discovery: challenges and opportunities

Transcriptomic-Based Classification Identifies Prognostic Subtypes and Therapeutic Strategies in Soft Tissue Sarcomas

A comprehensive clinically informed map of dependencies in cancer cells and framework for target prioritization.

Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning

Base editing screens map mutations affecting interferon-γ signaling in cancer

Pan-cancer proteomic map of 949 human cell lines

DNA methylation fingerprint of hepatocellular carcinoma from tissue and liquid biopsies

A suspension technique for efficient large-scale cancer organoid culturing and perturbation screens

Combinatorial CRISPR screen identifies fitness effects of gene paralogues.

Genome and metabolome: chance and necessity

Minimal genome-wide human CRISPR-Cas9 library

Project Score database: A resource for investigating cancer cell dependencies and prioritizing therapeutic targets

Integrated cross-study datasets of genetic dependencies in cancer

SBML Level 3: an extensible format for the exchange and reuse of biological models

Genome-wide CRISPR screens of oral squamous cell carcinoma reveal fitness genes in the Hippo pathway

Genome-wide CRISPR screens of oral squamous cell carcinoma reveal fitness genes in the hippo pathway

Drug mechanism-of-action discovery through the integration of pharmacological and CRISPR screens

Collaborators (26)

Claudine Chaouiya

Marco Antoniotti

Christian Frezza

Hidde de Jong

Devin Sullivan

Sylvain Soliman

Fengtang Yang

Phillip J. Robinson

Lucian P. Smith

Colin Gillespie

Brett Olivier

Zhaoxiang Cai

Chris Cox

Sarah Keating

Karen MacKenzie

Pedro Beltrao

Edward Curry

Rainer Machné

Christoph Flamm

Akira Funahashi

Isabel Fernandes

Allyson Lister

Qing Zhong

Martina Kutmon

Frank Bergmann

Kedar Nath Natarajan

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