Следене
Tiziana Sanavia
Tiziana Sanavia
Department of Medical Sciences, University of Torino
Потвърден имейл адрес: unito.it - Начална страница
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Позовавания
Позовавания
Година
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, the FlowCAP Consortium, ...
Nature methods, 2013
6422013
Intersection of diverse neuronal genomes and neuropsychiatric disease: The Brain Somatic Mosaicism Network.
MJ McConnell, JV Moran, A Abyzov, S Akbarian, T Bae, I Cortes-Ciriano, ...
Science 356 (6336), eaal1641, 2017
2442017
Inferring causal molecular networks: empirical assessment through a community-based effort
SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ...
Nature Methods, 2016
2372016
Long-term Outcomes and Predictive Ability of Simple Non-Invasive Scoring Systems in Patients with Non-Alcoholic Fatty Liver Disease
R Younes, GP Caviglia, O Govaere, C Rosso, A Armandi, T Sanavia, ...
Journal of Hepatology, 2021
1192021
Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine
T Sanavia, G Birolo, L Montanucci, P Turina, E Capriotti, P Fariselli
Computational and structural biotechnology journal 18, 1968-1979, 2020
1052020
Synaptotagmin 4 regulates pancreatic β cell maturation by modulating the Ca2+ sensitivity of insulin secretion vesicles
C Huang, EM Walker, PK Dadi, R Hu, Y Xu, W Zhang, T Sanavia, J Mun, ...
Developmental cell 45 (3), 347-361. e5, 2018
922018
Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset
C Pancotti, S Benevenuta, G Birolo, V Alberini, V Repetto, T Sanavia, ...
Briefings in Bioinformatics, 2022
632022
An antisymmetric neural network to predict free energy changes in protein variants
S Benevenuta, C Pancotti, P Fariselli, G Birolo, T Sanavia
Journal of Physics D: Applied Physics 54 (24), 245403, 2021
422021
DNA methylation profiling reveals common signatures of tumorigenesis and defines epigenetic prognostic subtypes of canine Diffuse Large B-cell Lymphoma
S Ferraresso, A Aricò, T Sanavia, S Da Ros, M Milan, L Cascione, ...
Scientific Reports 7 (1), 11591, 2017
382017
FunPat: function-based pattern analysis on RNA-seq time series data
T Sanavia, F Finotello, B Di Camillo
BMC genomics 16, 1-13, 2015
362015
A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis
DP Noren, BL Long, R Norel, K Rrhissorrakrai, K Hess, CW Hu, ...
PLOS Comput Biol 12 (6), e1004890, 2016
352016
Necroptosis-driving genes RIPK1, RIPK3 and MLKL-p are associated with intratumoral CD3+ and CD8+ T cell density and predict prognosis in hepatocellular carcinoma
L Nicolè, T Sanavia, R Cappellesso, V Maffeis, J Akiba, A Kawahara, ...
Journal for immunotherapy of cancer 10 (3), 2022
342022
Oncofetal gene SALL4 and prognosis in cancer: A systematic review with meta-analysis
L Nicolè, T Sanavia, N Veronese, R Cappellesso, C Luchini, P Dabrilli, ...
Oncotarget 2, 2b, 2017
332017
Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment.
B Di Camillo, T Sanavia, M Martini, G Jurman, F Sambo, A Barla, ...
PloS one 7 (3), e32200, 2012
322012
Protein stability perturbation contributes to the loss of function in haploinsufficient genes
G Birolo, S Benevenuta, P Fariselli, E Capriotti, E Giorgio, T Sanavia
Frontiers in Molecular Biosciences 8, 10, 2021
252021
A Deep-Learning Sequence-Based Method to Predict Protein Stability Changes upon Genetic Variations
C Pancotti, S Benevenuta, V Repetto, G Birolo, E Capriotti, T Sanavia, ...
Genes 12 (6), 911, 2021
242021
MiR-200c-3p contrasts PD-L1 induction by combinatorial therapies and slows proliferation of epithelial ovarian cancer through downregulation of β-catenin and c-myc
E Anastasiadou, E Messina, T Sanavia, L Mundo, F Farinella, S Lazzi, ...
Cells 10 (3), 519, 2021
212021
MiR-21 over-expression and Programmed Cell Death 4 down-regulation features malignant pleural mesothelioma
L Nicolè, R Cappellesso, T Sanavia, V Guzzardo, A Fassina
Oncotarget 9, 17300-17308, 2018
182018
Improving biomarker list stability by integration of biological knowledge in the learning process
T Sanavia, F Aiolli, G Da San Martino, A Bisognin, B Di Camillo
BMC bioinformatics 13, 1-11, 2012
182012
Deep learning methods to predict amyotrophic lateral sclerosis disease progression
C Pancotti, G Birolo, C Rollo, T Sanavia, B Di Camillo, U Manera, A Chiò, ...
Scientific Reports 12, 13738, 2022
172022
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