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Items: 13

1.

Deep learning architectures for prediction of nucleosome positioning from sequences data.

Di Gangi M, Lo Bosco G, Rizzo R.

BMC Bioinformatics. 2018 Nov 20;19(Suppl 14):418. doi: 10.1186/s12859-018-2386-9.

2.

Deep learning models for bacteria taxonomic classification of metagenomic data.

Fiannaca A, La Paglia L, La Rosa M, Lo Bosco G, Renda G, Rizzo R, Gaglio S, Urso A.

BMC Bioinformatics. 2018 Jul 9;19(Suppl 7):198. doi: 10.1186/s12859-018-2182-6.

3.

Sperm DNA fragmentation: An early and reliable marker of air pollution.

Bosco L, Notari T, Ruvolo G, Roccheri MC, Martino C, Chiappetta R, Carone D, Lo Bosco G, Carrillo L, Raimondo S, Guglielmino A, Montano L.

Environ Toxicol Pharmacol. 2018 Mar;58:243-249. doi: 10.1016/j.etap.2018.02.001. Epub 2018 Feb 7.

PMID:
29448163
4.

2-Methoxyestradiol Affects Mitochondrial Biogenesis Pathway and Succinate Dehydrogenase Complex Flavoprotein Subunit A in Osteosarcoma Cancer Cells.

Gorska-Ponikowska M, Kuban-Jankowska A, Eisler SA, Perricone U, Lo Bosco G, Barone G, Nussberger S.

Cancer Genomics Proteomics. 2018 Jan-Feb;15(1):73-89.

5.

Real-time detection of BRAF V600E mutation from archival hairy cell leukemia FFPE tissue by nanopore sequencing.

Vacca D, Cancila V, Gulino A, Lo Bosco G, Belmonte B, Di Napoli A, Florena AM, Tripodo C, Arancio W.

Mol Biol Rep. 2018 Feb;45(1):1-7. doi: 10.1007/s11033-017-4133-0. Epub 2017 Dec 13.

PMID:
29238890
6.

2-methoxyestradiol impacts on amino acids-mediated metabolic reprogramming in osteosarcoma cells by its interaction with NMDA receptor.

Gorska-Ponikowska M, Perricone U, Kuban-Jankowska A, Lo Bosco G, Barone G.

J Cell Physiol. 2017 Nov;232(11):3030-3049. doi: 10.1002/jcp.25888. Epub 2017 Jun 6.

PMID:
28262924
7.

Applications of alignment-free methods in epigenomics.

Pinello L, Lo Bosco G, Yuan GC.

Brief Bioinform. 2014 May;15(3):419-30. doi: 10.1093/bib/bbt078. Epub 2013 Nov 6. Review.

8.

A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.

Giancarlo R, Lo Bosco G, Pinello L, Utro F.

BMC Bioinformatics. 2013;14 Suppl 1:S6. doi: 10.1186/1471-2105-14-S1-S6. Epub 2013 Jan 14.

9.

A motif-independent metric for DNA sequence specificity.

Pinello L, Lo Bosco G, Hanlon B, Yuan GC.

BMC Bioinformatics. 2011 Oct 21;12:408. doi: 10.1186/1471-2105-12-408.

10.

Genome-wide characterization of chromatin binding and nucleosome spacing activity of the nucleosome remodelling ATPase ISWI.

Sala A, Toto M, Pinello L, Gabriele A, Di Benedetto V, Ingrassia AM, Lo Bosco G, Di Gesù V, Giancarlo R, Corona DF.

EMBO J. 2011 May 4;30(9):1766-77. doi: 10.1038/emboj.2011.98. Epub 2011 Mar 29.

11.

A multi-layer method to study genome-scale positions of nucleosomes.

Di Gesù V, Lo Bosco G, Pinello L, Yuan GC, Corona DF.

Genomics. 2009 Feb;93(2):140-5. doi: 10.1016/j.ygeno.2008.09.012. Epub 2008 Nov 21.

12.

Associations between Notch-2, Akt-1 and HER2/neu expression in invasive human breast cancer: a tissue microarray immunophenotypic analysis on 98 patients.

Florena AM, Tripodo C, Guarnotta C, Ingrao S, Porcasi R, Martorana A, Lo Bosco G, Cabibi D, Franco V.

Pathobiology. 2007;74(6):317-22. Epub 2007 Dec 13.

13.

GenClust: a genetic algorithm for clustering gene expression data.

Di Gesú V, Giancarlo R, Lo Bosco G, Raimondi A, Scaturro D.

BMC Bioinformatics. 2005 Dec 7;6:289.

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