Milton Pividori

According to our database, Milton Pividori authored at least 10 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci.

Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James A. Evans, Xin Gao, Andrey Rzhetsky

Nat. Comput. Sci., 2023

The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci.

Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James A. Evans, Xin Gao, Andrey Rzhetsky

Nat. Comput. Sci., 2023

2021

Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition.

Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan

Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021

2020

DL4papers: a deep learning approach for the automatic interpretation of scientific articles.

Leandro A Bugnon, Cristian A. Yones, Jonathan Raad, Matias Gerard, Mariano Rubiolo, Gabriela Alejandra Merino, Milton Pividori, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer

Bioinform., 2020

2019

ukbREST: efficient and streamlined data access for reproducible research in large biobanks.

Milton Pividori, Hae Kyung Im

Bioinform., 2019

Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization.

Milton Pividori, Andres Cernadas, Luis A. de Haro, Fernando Carrari, Georgina Stegmayer, Diego H. Milone

Bioinform., 2019

Predicting novel microRNA: a comprehensive comparison of machine learning approaches.

Georgina Stegmayer, Leandro E. Di Persia, Mariano Rubiolo, Matias Gerard, Milton Pividori, Cristian A. Yones, Leandro A Bugnon, Tadeo Rodriguez, Jonathan Raad, Diego H. Milone

Briefings Bioinform., 2019

2016

Diversity control for improving the analysis of consensus clustering.

Milton Pividori, Georgina Stegmayer, Diego H. Milone

Inf. Sci., 2016

A very simple and fast way to access and validate algorithms in reproducible research.

Georgina Stegmayer, Milton Pividori, Diego H. Milone

Briefings Bioinform., 2016

2014

A Method to Improve the Analysis of Cluster Ensembles.

Milton Pividori, Georgina Stegmayer, Diego H. Milone

Inteligencia Artif., 2014