Sfoglia per Rivista BMC BIOINFORMATICS
A hierarchical Naive Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays
2006-01-01 Demichelis, Francesca; Paolo, Magni; Paolo, Piergiorgi; Mark, Rubin; Riccardo, Bellazzi
Deep learning architectures for prediction of nucleosome positioning from sequences data
2018-01-01 Di Gangi, Mattia Antonino; Lo Bosco, Giosuè; Rizzo, Riccardo
DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks
2016-01-01 Lukauskas, Saulius; Visintainer, Roberto; Sanguinetti, Guido; Schweikert, Gabriele B.
Efficient randomization of biological networks while preserving functional characterization of individual nodes
2016-01-01 Iorio, Francesco; Bernardo Faura, Marti; Gobbi, Andrea; Cokelaer, Thomas; Jurman, Giuseppe; Saez Rodriguez, Julio
Entropy-based gene ranking without selection bias for the predictive classification of microarray data
2003-01-01 Furlanello, Cesare; Serafini, Maria; Merler, Stefano; Jurman, Giuseppe
Internet-based Profiler System as integrative framework to support Translational Research
2005-01-01 Robert, Kim; Demichelis, Francesca; Jeffrey, Tang; Alberto, Riva; Ronglai, Shen; Al, Et
A machine learning pipeline for quantitative phenotype prediction from genotype data
2010-01-01 Guzzetta, Giorgio; Jurman, Giuseppe; Furlanello, Cesare
Phylogenetic convolutional neural networks in metagenomics
2018-01-01 Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A hierarchical Naive Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays | 1-gen-2006 | Demichelis, Francesca; Paolo, Magni; Paolo, Piergiorgi; Mark, Rubin; Riccardo, Bellazzi | |
| Deep learning architectures for prediction of nucleosome positioning from sequences data | 1-gen-2018 | Di Gangi, Mattia Antonino; Lo Bosco, Giosuè; Rizzo, Riccardo | |
| DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks | 1-gen-2016 | Lukauskas, Saulius; Visintainer, Roberto; Sanguinetti, Guido; Schweikert, Gabriele B. | |
| Efficient randomization of biological networks while preserving functional characterization of individual nodes | 1-gen-2016 | Iorio, Francesco; Bernardo Faura, Marti; Gobbi, Andrea; Cokelaer, Thomas; Jurman, Giuseppe; Saez Rodriguez, Julio | |
| Entropy-based gene ranking without selection bias for the predictive classification of microarray data | 1-gen-2003 | Furlanello, Cesare; Serafini, Maria; Merler, Stefano; Jurman, Giuseppe | |
| Internet-based Profiler System as integrative framework to support Translational Research | 1-gen-2005 | Robert, Kim; Demichelis, Francesca; Jeffrey, Tang; Alberto, Riva; Ronglai, Shen; Al, Et | |
| A machine learning pipeline for quantitative phenotype prediction from genotype data | 1-gen-2010 | Guzzetta, Giorgio; Jurman, Giuseppe; Furlanello, Cesare | |
| Phylogenetic convolutional neural networks in metagenomics | 1-gen-2018 | Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare |
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