Marta Milo

According to our database, Marta Milo authored at least 12 papers between 1997 and 2023.

Collaborative distances:

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

2023

SynBa: improved estimation of drug combination synergies with uncertainty quantification.

Haoting Zhang, Carl Henrik Ek, Magnus Rattray, Marta Milo

Bioinform., 2023

2009

puma: a Bioconductor package for propagating uncertainty in microarray analysis.

Richard D. Pearson, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence, Magnus Rattray

BMC Bioinform., 2009

2006

Probe-level measurement error improves accuracy in detecting differential gene expression.

Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray

Bioinform., 2006

Propagating uncertainty in microarray data analysis.

Magnus Rattray, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence

Briefings Bioinform., 2006

2005

Accounting for probe-level noise in principal component analysis of microarray data.

Guido Sanguinetti, Marta Milo, Magnus Rattray, Neil D. Lawrence

Bioinform., 2005

A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips.

Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray

Bioinform., 2005

2004

Reducing the variability in cDNA microarray image processing by Bayesian inference.

Neil D. Lawrence, Marta Milo, Mahesan Niranjan, Penny Rashbass, Stephan Soullier

Bioinform., 2004

2003

Bayesian processing of microarray images.

Neil D. Lawrence, Marta Milo, Mahesan Niranjan, Penny Rashbass, Stephan Soullier

Proceedings of the NNSP 2003, 2003

2000

An Adaptable Boolean Neural Network Performing Specific Sequence Learning.

Francesco E. Lauria, Roberto Prevete, Marta Milo

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

A Boolean Neural Network Controlling Task Sequences in a Noisy Environment.

Francesco E. Lauria, Marta Milo, Roberto Prevete, S. Visco

Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998

A Boolean Neural Network as a Rule Based System Learning New Rules by Examples.

Francesco E. Lauria, Roberto Prevete, Marta Milo, S. Visco

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

On the Finite State Machine Associated to an Adaptable Boolean Neural Net.

Francesco E. Lauria, Roberto Prevete, Marta Milo, S. Visco

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997