Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data

by Marta B. Lopes, Susana Vinga
Published 2020-02-01

Twiner: correlation-based regularization for identifying common cancer gene signatures

by Marta B. Lopes, Sandra Casimiro, Susana Vinga
Published 2019-06-01

Identification of influential observations in high-dimensional cancer survival data through the rank product test

by Eunice Carrasquinha, André Veríssimo, Marta B. Lopes, Susana Vinga
Published 2018-02-01

The Role of Network Science in Glioblastoma

by Marta B. Lopes, Eduarda P. Martins, Susana Vinga, Bruno M. Costa
Published 2021-03-01

TCox: Correlation-Based Regularization Applied to Colorectal Cancer Survival Data

by Carolina Peixoto, Marta B. Lopes, Marta Martins, Luís Costa, Susana Vinga
Published 2020-11-01

Ensemble outlier detection and gene selection in triple-negative breast cancer data

by Marta B. Lopes, André Veríssimo, Eunice Carrasquinha, Sandra Casimiro, Niko Beerenwinkel, Susana Vinga
Published 2018-05-01

A Review of Recent Machine Learning Advances for Forecasting Harmful Algal Blooms and Shellfish Contamination

by Rafaela C. Cruz, Pedro Reis Costa, Susana Vinga, Ludwig Krippahl, Marta B. Lopes
Published 2021-03-01

Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

by Laura Judith Marcos-Zambrano, Kanita Karaduzovic-Hadziabdic, Tatjana Loncar Turukalo, Piotr Przymus, Vladimir Trajkovik, Oliver Aasmets, Oliver Aasmets, Magali Berland, Aleksandra Gruca, Jasminka Hasic, Karel Hron, Thomas Klammsteiner, Mikhail Kolev, Leo Lahti, Marta B. Lopes, Marta B. Lopes, Victor Moreno, Victor Moreno, Victor Moreno, Victor Moreno, Irina Naskinova, Elin Org, Inês Paciência, Georgios Papoutsoglou, Rajesh Shigdel, Blaz Stres, Baiba Vilne, Malik Yousef, Malik Yousef, Eftim Zdravevski, Ioannis Tsamardinos, Enrique Carrillo de Santa Pau, Marcus J. Claesson, Isabel Moreno-Indias, Isabel Moreno-Indias, Jaak Truu
Published 2021-02-01

Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions

by Isabel Moreno-Indias, Isabel Moreno-Indias, Leo Lahti, Miroslava Nedyalkova, Ilze Elbere, Gennady Roshchupkin, Muhamed Adilovic, Onder Aydemir, Burcu Bakir-Gungor, Enrique Carrillo-de Santa Pau, Domenica D’Elia, Mahesh S. Desai, Mahesh S. Desai, Laurent Falquet, Laurent Falquet, Aycan Gundogdu, Aycan Gundogdu, Karel Hron, Thomas Klammsteiner, Marta B. Lopes, Marta B. Lopes, Laura Judith Marcos-Zambrano, Cláudia Marques, Michael Mason, Patrick May, Lejla Pašić, Gianvito Pio, Sándor Pongor, Vasilis J. Promponas, Piotr Przymus, Julio Saez-Rodriguez, Alexia Sampri, Rajesh Shigdel, Blaz Stres, Blaz Stres, Blaz Stres, Ramona Suharoschi, Jaak Truu, Ciprian-Octavian Truică, Baiba Vilne, Dimitrios Vlachakis, Ercument Yilmaz, Georg Zeller, Aldert L. Zomer, David Gómez-Cabrero, Marcus J. Claesson
Published 2021-02-01