| von Hippel-Lindau mutants in renal cell carcinoma are regulated by increased expression of RSUME L Tedesco, B Elguero, DG Pacin, S Senin, C Pollak, ... Cell Death & Disease 10 (4), 266, 2019 | 24 | 2019 |
| A pan-cancer somatic mutation embedding using autoencoders M Palazzo, P Beauseroy, P Yankilevich BMC bioinformatics 20 (1), 655, 2019 | 17 | 2019 |
| Coupled mass-spectrometry-based lipidomics machine learning approach for early detection of clear cell renal cell carcinoma M Manzi, M Palazzo, ME Knott, P Beauseroy, P Yankilevich, MI Giménez, ... Journal of Proteome Research 20 (1), 841-857, 2020 | 16 | 2020 |
| An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach F Pazos Obregón, M Palazzo, P Soto, G Guerberoff, P Yankilevich, ... BMC genomics 20, 1-8, 2019 | 4 | 2019 |
| Hepatocellular Carcinoma tumor stage classification and gene selection using machine learning models. M Palazzo, P Beauseroy, P Yankilevich Electronic Journal of SADIO (EJS) 18 (1), 26-42, 2019 | 3 | 2019 |
| Learning Kernels from genetic profiles to discriminate tumor subtypes M Palazzo, P Yankilevich, D Koile, P Beauseroy AGRANDA, Simposio Argentino de Grandes Datos 47 (ISSN: 2451-7569), 90, 2018 | 3 | 2018 |
| Unsupervised feature selection for tumor profiles using autoencoders and kernel methods M Palazzo, P Beauseroy, P Yankilevich 2020 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2020 | 2 | 2020 |
| Latent regularization for feature selection using kernel methods in tumor classification M Palazzo, P Yankilevich, P Beauseroy arXiv preprint arXiv:2004.04866, 2020 | 2 | 2020 |
| Teaching machine learning in argentina: the clusterAI pipeline M Palazzo, A Velazquez, M Breda, M Callara, N Aguirre The Second Teaching Machine Learning and Artificial Intelligence Workshop, 83-87, 2022 | 1 | 2022 |
| Dimensionality Reduction of Biomedical Tumor Profiles: a Machine Learning Approach M Palazzo Universite de Technologie de Troyes, 2021 | | 2021 |
| Reducción de la Dimensionalidad en Perfiles Tumorales con Metodos de Kernel y Redes Neuronales M Palazzo, P Yankilevich, P Beauseroy AJEA, 2020 | | 2020 |
| Kernel Latent regularization for feature selection in tumor classification M Palazzo, P Yankilevich, P Beauseroy 2020 International Conference on Machine Learning, 2020 | | 2020 |
| A Mass Spectrometry-based Lipidomics Study for Early Diagnosis of clear cell Renal Cell Carcinoma M Manzi, M Palazzo, N Zabalegui, ME Knott, P Yankilevich, MI Giménez, ... MDPI AG, 2018 | | 2018 |
Patricio YankilevichInstituto de Investigación en Biomedicina de Buenos Aires.Dirección de correo verificada de ibioba-mpsp-conicet.gov.ar
