isa_ps
http://www.rnbio.it/ACC
daily12009-11-02T14:26:51ZPlatelet derived growth factor-receptor alpha strongly inhibits melanoma growth in vitro and in vivo http://www.rnbio.it/ACC/documents/pubfiles/platelet-derived-growth-factor-receptor-alpha-strongly-inhibits-melanoma-growth-in-vitro-and-in-vivo Faraone D, Aguzzi MS, Toletta G, Facchiano AM, Facchiano F, Magenta A, Martelli F, Truffa S, Cesareo E, Ribatti D, Capogrossi MC and Facchiano A.
Platelet derived growth factor-receptor alpha strongly inhibits melanoma growth in vitro and in vivo.
Neoplasia, 2009 Aug;11(8):732-742
No publisherStefaniaParodiISA2009-11-03T16:02:55ZPageDetection and molecular characterization of a novel BRAF activated domain mutation in follicular variant of papillary thyroid carcinoma http://www.rnbio.it/ACC/documents/pubfiles/detection-and-molecular-characterization-of-a-novel-braf-activated-domain-mutation-in-follicular-variant-of-papillary-thyroid-carcinoma Santarpia L, Sherman SI, Marabotti A, Clayman GL, El-Naggar AK.
Detection and molecular characterization of a novel BRAF activated domain mutation in follicular variant of papillary thyroid carcinoma.
Hum Pathol, Jun 2009;40(6):827-33
No publisherStefaniaParodiISA2009-11-04T16:14:39ZPagePrediction of the protein structural class by specific peptide frequencies http://www.rnbio.it/ACC/documents/pubfiles/prediction-of-the-protein-structural-class-by-specific-peptide-frequencies Costantini S, Facchiano A.
Prediction of the protein structural class by specific peptide frequencies.
Biochimie, 2009, 91; 226-229.
No publisherStefaniaParodiISA2009-11-03T16:32:34ZPageWhen it comes to homology, bad habits die hard http://www.rnbio.it/ACC/documents/pubfiles/when-it-comes-to-homology-bad-habits-die-hard Marabotti A, Facchiano A.
When it comes to homology, bad habits die hard.
Trends in Biochemical Sciences, 2009, 34; 98-99.
No publisherStefaniaParodiISA2009-11-03T16:31:52ZPageA scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection http://www.rnbio.it/ACC/documents/pubfiles/ceccarelli-m-d-acierno-a-facchiano-a-a-scale-space-approach-for-unsupervised-feature-selection-in-mass-spectra-classification-for-ovarian-cancer-detection Ceccarelli M, D'Acierno A, Facchiano A.
A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection.
BMC Bioinformatics 2009, 10(Suppl 12):S9
No publisherStefaniaParodiISA2009-11-03T15:59:23ZPageA machine learning approach to mass spectra classification with unsupervised feature selection http://www.rnbio.it/ACC/documents/pubfiles/ceccarelli-m-d-acierno-a-facchiano-a-a-machine-learning-approach-to-mass-spectra-classification-with-unsupervised-feature-selection Ceccarelli M, d'Acierno A, Facchiano A. A machine learning approach to mass spectra classification with unsupervised feature selection. In: "Computational Intelligence Methods for Bioinformatics and Biostatistics." Edited by: F Masulli, R Tagliaferri and GM Verkhiver; CINN 2008, LNBI 5488, pp.242-252, 2009. Springer-Verlag Berlin Heidelberg 2009
No publisherStefaniaParodiISAWork2009-11-03T14:52:23ZPageModeling the conformation of side chians in proteins: approaches, problems and possible developments http://www.rnbio.it/ACC/documents/pubfiles/modeling-the-conformation-of-side-chians-in-proteins-approaches-problems-and-possible-developments Marabotti A. (review) Modeling the conformation of
side chians in proteins: approaches, problems and
possible developments. Current Chemical Biology, Volume 2, Number 3, September 2008 . 2: 200-214No publisherStefaniaParodiISA2009-11-04T12:47:51ZPageTransglutaminases and their substrates in biology and human diseases: 50 years of growing http://www.rnbio.it/ACC/documents/pubfiles/transglutaminases-and-their-substrates-in-biology-and-human-diseases-50-years-of-growing Facchiano A, Facchiano F. (review) Transglutaminases
and their substrates in biology and human diseases:
50 years of growing. Amino Acids. 2008 Jul 3. [Epub
ahead of print]No publisherStefaniaParodiISA2009-11-04T12:43:38ZPageCALCOM: A software for calculating the center of mass of proteins http://www.rnbio.it/ACC/documents/pubfiles/calcom-a-software-for-calculating-the-center-of-mass-of-proteins Costantini S, Paladino A, Facchiano AM. CALCOM: A
software for calculating the center of mass of proteins.
Bioinformation. 2008. 2: 271–272No publisherStefaniaParodiISA2009-11-04T12:42:46ZPageTime-course analysis of genome-wide gene expression data from hormone-responsive human breast cancer cells http://www.rnbio.it/ACC/documents/pubfiles/time-course-analysis-of-genome-wide-gene-expression-data-from-hormone-responsive-human-breast-cancer-cells Mutarelli M, Cicatiello L, et al. Time-course analysis
of genome-wide gene expression data from
hormone-responsive human breast cancer cells. BMC
Bioinformatics. 2008. 9 (Suppl.2): S12No publisherStefaniaParodiISA2009-11-04T11:02:50ZPage