BARLA, ANNALISA
BARLA, ANNALISA
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A Biology-driven Approach Identifies the Hypoxia Gene Signature as a Predictor of the Outcome of Neuroblastoma Patients
2010-01-01 Fardin, P; Barla, Annalisa; Mosci, Sofia; Rosasco, Lorenzo; Verri, Alessandro; Caron, H; Molenaar, J; Ora, I; Eva, A; Puppo, M; Varesio, L.
A computational procedure for functional characterization of potential marker genes from molecular data: Alzheimer's as a case study
2011-01-01 Margherita, Squillario; Barla, Annalisa
A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models
2022-01-01 Vincenzi, Elena; Fantazzini, Alice; Basso, Curzio; Barla, Annalisa; Odone, Francesca; Leo, Ludovica; Mecozzi, Laura; Mambrini, Martina; Ferrini, Erica; Sverzellati, Nicola; Stellari, Franco Fabio
A Grid Environment for High-Throughput Proteomics
2007-01-01 Mario, Cannataro; Barla, Annalisa; Roberto, Flor; Giuseppe, Jurman; Stefano, Merler; Silvano, Paoli; Giuseppe, Tradigo; Pierangelo, Veltri; Cesare, Furlanello
A Supervised Learning Approach for Rainfall Detection From Underwater Noise Analysis
2022-01-01 Trucco, A.; Bozzano, R.; Fava, E.; Pensieri, S.; Verri, A.; Barla, A.
A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease
2020-01-01 Squillario, Margherita; Abate, Giulia; Tomasi, Federico; Tozzo, Veronica; Barla, Annalisa; Uberti, Daniela
Advances in dynamic modeling of colorectal cancer signaling-network regions, a path toward targeted therapies.
2015-01-01 Tortolina, Lorenzo; Duffy, Dj; Maffei, Massimo; Castagnino, Nicoletta; Carmody, Am; Kolch, W; Kholodenko, Bn; DE AMBROSI, Cristina; Barla, A; Biganzoli, Em; Nencioni, Alessio; Patrone, Franco; Ballestrero, Alberto; Zoppoli, Gabriele; Verri, Alessandro; Parodi, Silvio
Algebraic stability indicators for ranked lists in molecular profiling
2008-01-01 G., Jurman; S., Merler; Barla, Annalisa; S., Paoli; A., Galea; C., Furlanello
Alternating proximal regularized dictionary learning.
2014-01-01 Salzo, Saverio; Masecchia, Salvatore; Verri, Alessandro; Barla, Annalisa
An overview of data integration in neuroscience with focus on Alzheimer’s Disease
2023-01-01 Turrisi, R.; Squillario, M.; Abate, G.; Uberti, D.; Barla, A.
Building Kernels from Binary Strings for Image Matching
2005-01-01 Odone, Francesca; Barla, Annalisa; Verri, Alessandro
Comparison of clinical outcomes for patients with large choroidal melanoma after primary treatment with enucleation or proton beam radiotherapy.
2012-01-01 Mosci, C; Lanza, Fb; Barla, Annalisa; Mosci, Sofia; Hérault, J; Anselmi, L; Truini, M.
Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning
2022-01-01 Trucco, Andrea; Barla, Annalisa; Bozzano, Roberto; Fava, Emanuele; Pensieri, Sara; Verri, Alessandro; Solarna, David
Data-Driven Continuous Assessment of Frailty in Older People
2018-01-01 Martini, Chiara; Barla, Annalisa; Odone, Francesca; Verri, Alessandro; Cella, Alberto; Rollandi, Gian Andrea; Pilotto, Alberto
Development of a smart post-hospitalization facility for older people by using domotics, robotics, and automated tele-monitoring
2019-01-01 Pilotto, Alberto; Verri, Alessandro; Rollandi, Gian Andrea; Casiddu, Niccolò; Odone, Francesca; Veronese, Nicola; Puntoni, Matteo; Porfirione, Claudia; Barla, Annalisa; Femia, Rosetta; Pericu, Silvia; Martini, Chiara; Cella, Alberto; Patrone, Carlotta
Different features of tumor-associated NK cells in patients with low-grade or high-grade peritoneal carcinomatosis
2019-01-01 Pesce, S.; Belgrano, V.; Greppi, M.; Carlomagno, S.; Squillario, M.; Barla, A.; Della Chiesa, M.; Di Domenico, S.; Mavilio, D.; Moretta, L.; Candiani, S.; Sivori, S.; De Cian, F.; Marcenaro, E.
Discrete Changes in Glucose Metabolism Define Aging
2019-01-01 Ravera, Silvia; Podestà, Marina; Sabatini, Federica; Dagnino, Monica; Cilloni, Daniela; Fiorini, Samuele; Barla, Annalisa; Frassoni, Francesco
Effect of Size and Heterogeneity of Samples on Biomarker Discovery: Synthetic and Real Data Assessment
2012-01-01 Barbara Di, Camillo; Tiziana, Sanavia; Matteo, Martini; Giuseppe, Jurman; Francesco, Sambo; Barla, Annalisa; Squillario, Margherita; Cesare, Furlanello; Gianna, Toffolo; Claudio, Cobelli
Enhancing Interpretability of Gene Signatures with Prior Biological Knowledge
2016-01-01 Squillario, Margherita; Barbieri, Matteo; Verri, Alessandro; Barla, Annalisa
Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm
2015-01-01 Masecchia, Salvatore; Coco, Simona; Barla, Annalisa; Verri, Alessandro; Tonini, Gian Paolo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Biology-driven Approach Identifies the Hypoxia Gene Signature as a Predictor of the Outcome of Neuroblastoma Patients | 1-gen-2010 | Fardin, P; Barla, Annalisa; Mosci, Sofia; Rosasco, Lorenzo; Verri, Alessandro; Caron, H; Molenaar, J; Ora, I; Eva, A; Puppo, M; Varesio, L. | |
| A computational procedure for functional characterization of potential marker genes from molecular data: Alzheimer's as a case study | 1-gen-2011 | Margherita, Squillario; Barla, Annalisa | |
| A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models | 1-gen-2022 | Vincenzi, Elena; Fantazzini, Alice; Basso, Curzio; Barla, Annalisa; Odone, Francesca; Leo, Ludovica; Mecozzi, Laura; Mambrini, Martina; Ferrini, Erica; Sverzellati, Nicola; Stellari, Franco Fabio | |
| A Grid Environment for High-Throughput Proteomics | 1-gen-2007 | Mario, Cannataro; Barla, Annalisa; Roberto, Flor; Giuseppe, Jurman; Stefano, Merler; Silvano, Paoli; Giuseppe, Tradigo; Pierangelo, Veltri; Cesare, Furlanello | |
| A Supervised Learning Approach for Rainfall Detection From Underwater Noise Analysis | 1-gen-2022 | Trucco, A.; Bozzano, R.; Fava, E.; Pensieri, S.; Verri, A.; Barla, A. | |
| A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease | 1-gen-2020 | Squillario, Margherita; Abate, Giulia; Tomasi, Federico; Tozzo, Veronica; Barla, Annalisa; Uberti, Daniela | |
| Advances in dynamic modeling of colorectal cancer signaling-network regions, a path toward targeted therapies. | 1-gen-2015 | Tortolina, Lorenzo; Duffy, Dj; Maffei, Massimo; Castagnino, Nicoletta; Carmody, Am; Kolch, W; Kholodenko, Bn; DE AMBROSI, Cristina; Barla, A; Biganzoli, Em; Nencioni, Alessio; Patrone, Franco; Ballestrero, Alberto; Zoppoli, Gabriele; Verri, Alessandro; Parodi, Silvio | |
| Algebraic stability indicators for ranked lists in molecular profiling | 1-gen-2008 | G., Jurman; S., Merler; Barla, Annalisa; S., Paoli; A., Galea; C., Furlanello | |
| Alternating proximal regularized dictionary learning. | 1-gen-2014 | Salzo, Saverio; Masecchia, Salvatore; Verri, Alessandro; Barla, Annalisa | |
| An overview of data integration in neuroscience with focus on Alzheimer’s Disease | 1-gen-2023 | Turrisi, R.; Squillario, M.; Abate, G.; Uberti, D.; Barla, A. | |
| Building Kernels from Binary Strings for Image Matching | 1-gen-2005 | Odone, Francesca; Barla, Annalisa; Verri, Alessandro | |
| Comparison of clinical outcomes for patients with large choroidal melanoma after primary treatment with enucleation or proton beam radiotherapy. | 1-gen-2012 | Mosci, C; Lanza, Fb; Barla, Annalisa; Mosci, Sofia; Hérault, J; Anselmi, L; Truini, M. | |
| Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning | 1-gen-2022 | Trucco, Andrea; Barla, Annalisa; Bozzano, Roberto; Fava, Emanuele; Pensieri, Sara; Verri, Alessandro; Solarna, David | |
| Data-Driven Continuous Assessment of Frailty in Older People | 1-gen-2018 | Martini, Chiara; Barla, Annalisa; Odone, Francesca; Verri, Alessandro; Cella, Alberto; Rollandi, Gian Andrea; Pilotto, Alberto | |
| Development of a smart post-hospitalization facility for older people by using domotics, robotics, and automated tele-monitoring | 1-gen-2019 | Pilotto, Alberto; Verri, Alessandro; Rollandi, Gian Andrea; Casiddu, Niccolò; Odone, Francesca; Veronese, Nicola; Puntoni, Matteo; Porfirione, Claudia; Barla, Annalisa; Femia, Rosetta; Pericu, Silvia; Martini, Chiara; Cella, Alberto; Patrone, Carlotta | |
| Different features of tumor-associated NK cells in patients with low-grade or high-grade peritoneal carcinomatosis | 1-gen-2019 | Pesce, S.; Belgrano, V.; Greppi, M.; Carlomagno, S.; Squillario, M.; Barla, A.; Della Chiesa, M.; Di Domenico, S.; Mavilio, D.; Moretta, L.; Candiani, S.; Sivori, S.; De Cian, F.; Marcenaro, E. | |
| Discrete Changes in Glucose Metabolism Define Aging | 1-gen-2019 | Ravera, Silvia; Podestà, Marina; Sabatini, Federica; Dagnino, Monica; Cilloni, Daniela; Fiorini, Samuele; Barla, Annalisa; Frassoni, Francesco | |
| Effect of Size and Heterogeneity of Samples on Biomarker Discovery: Synthetic and Real Data Assessment | 1-gen-2012 | Barbara Di, Camillo; Tiziana, Sanavia; Matteo, Martini; Giuseppe, Jurman; Francesco, Sambo; Barla, Annalisa; Squillario, Margherita; Cesare, Furlanello; Gianna, Toffolo; Claudio, Cobelli | |
| Enhancing Interpretability of Gene Signatures with Prior Biological Knowledge | 1-gen-2016 | Squillario, Margherita; Barbieri, Matteo; Verri, Alessandro; Barla, Annalisa | |
| Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm | 1-gen-2015 | Masecchia, Salvatore; Coco, Simona; Barla, Annalisa; Verri, Alessandro; Tonini, Gian Paolo |