Filosi, Michele
Filosi, Michele
MPBA
A Machine Learning Pipeline for Discriminant Pathways Identification
2012-01-01 A., Barla; Jurman, Giuseppe; Visintainer, Roberto; M., Squillario; Filosi, Michele; S., Riccadonna; Furlanello, Cesare
A machine learning pipeline for discriminant pathways identification
2011-01-01 A., Barla; Jurman, Giuseppe; Visintainer, Roberto; M., Squillario; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare
A Machine Learning Pipeline for Discriminant Pathways Identification
2012-01-01 A., Barla; Jurman, Giuseppe; Visintainer, Roberto; M., Squillario; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare
Differential network analysis and graph classification: a glocal approach
2016-01-01 Jurman, Giuseppe; Filosi, Michele; Riccadonna, Samantha; Visintainer, Roberto; Furlanello, Cesare
DTW-MIC Coexpression Networks from Time-Course Data
2016-01-01 Riccadonna, Samantha; Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Furlanello, Cesare
Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation
2015-01-01 D., Fay; A. W., Moore; K., Brown; Filosi, Michele; Jurman, Giuseppe
minepy and minerva: a C engine for the MINE suite and its Python, R and MATLAB wrappers
2013-01-01 D., Albanese; Filosi, Michele; Visintainer, Roberto; S., Riccadonna; Jurman, Giuseppe; Furlanello, Cesare
Stability in GRN inference
2019-01-01 Jurman, Giuseppe; Filosi, Michele; Visintainer, Roberto; Riccadonna, Samantha; Furlanello, Cesare
Stability Indicators in Network Reconstruction
2014-01-01 Filosi, Michele; Visintainer, Roberto; S., Riccadonna; Jurman, Giuseppe; Furlanello, Cesare
The concordance between RNA-Seq and microarray data depends on chemical treatment and transcript abundance
2014-01-01 C., Wang; B., Gong; P. R., Bushel; J., Thierry Mieg; D., Thierry Mieg; J., Xu; H., Fang; H., Hong; J., Shen; Z., Su; J., Meehan; X., Li; L., Yang; H., Li; P. P., Labaj; D. P., Krell; D., Megherbi; S., Gaj; F., Calment; J., van Delft; J., Kleinjans; A., Sherer; V., Devanarayan; J., Wang; Y., Yang; H. R., Qian; L. J., Lancashire; M., Bessarabova; Y., Nikolsky; Furlanello, Cesare; Chierici, Marco; D., Albanese; Jurman, Giuseppe; S., Riccadonna; Filosi, Michele; Visintainer, Roberto; K. K., Zhang; J., Li; J. H., Hsieh; D. L., Svoboda; J. C., Fuscoe; Y., Deng; L., Shi; R. S., Paules; S. S., Auerbach; W., Tong
The HIM glocal metric and kernel for network comparison and classification
2015-01-01 Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Machine Learning Pipeline for Discriminant Pathways Identification | 1-gen-2012 | A., Barla; Jurman, Giuseppe; Visintainer, Roberto; M., Squillario; Filosi, Michele; S., Riccadonna; Furlanello, Cesare | |
A machine learning pipeline for discriminant pathways identification | 1-gen-2011 | A., Barla; Jurman, Giuseppe; Visintainer, Roberto; M., Squillario; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare | |
A Machine Learning Pipeline for Discriminant Pathways Identification | 1-gen-2012 | A., Barla; Jurman, Giuseppe; Visintainer, Roberto; M., Squillario; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare | |
Differential network analysis and graph classification: a glocal approach | 1-gen-2016 | Jurman, Giuseppe; Filosi, Michele; Riccadonna, Samantha; Visintainer, Roberto; Furlanello, Cesare | |
DTW-MIC Coexpression Networks from Time-Course Data | 1-gen-2016 | Riccadonna, Samantha; Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Furlanello, Cesare | |
Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation | 1-gen-2015 | D., Fay; A. W., Moore; K., Brown; Filosi, Michele; Jurman, Giuseppe | |
minepy and minerva: a C engine for the MINE suite and its Python, R and MATLAB wrappers | 1-gen-2013 | D., Albanese; Filosi, Michele; Visintainer, Roberto; S., Riccadonna; Jurman, Giuseppe; Furlanello, Cesare | |
Stability in GRN inference | 1-gen-2019 | Jurman, Giuseppe; Filosi, Michele; Visintainer, Roberto; Riccadonna, Samantha; Furlanello, Cesare | |
Stability Indicators in Network Reconstruction | 1-gen-2014 | Filosi, Michele; Visintainer, Roberto; S., Riccadonna; Jurman, Giuseppe; Furlanello, Cesare | |
The concordance between RNA-Seq and microarray data depends on chemical treatment and transcript abundance | 1-gen-2014 | C., Wang; B., Gong; P. R., Bushel; J., Thierry Mieg; D., Thierry Mieg; J., Xu; H., Fang; H., Hong; J., Shen; Z., Su; J., Meehan; X., Li; L., Yang; H., Li; P. P., Labaj; D. P., Krell; D., Megherbi; S., Gaj; F., Calment; J., van Delft; J., Kleinjans; A., Sherer; V., Devanarayan; J., Wang; Y., Yang; H. R., Qian; L. J., Lancashire; M., Bessarabova; Y., Nikolsky; Furlanello, Cesare; Chierici, Marco; D., Albanese; Jurman, Giuseppe; S., Riccadonna; Filosi, Michele; Visintainer, Roberto; K. K., Zhang; J., Li; J. H., Hsieh; D. L., Svoboda; J. C., Fuscoe; Y., Deng; L., Shi; R. S., Paules; S. S., Auerbach; W., Tong | |
The HIM glocal metric and kernel for network comparison and classification | 1-gen-2015 | Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare |