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Items: 12

1.

Identification of genetic determinants of breast cancer immune phenotypes by integrative genome-scale analysis.

Hendrickx W, Simeone I, Anjum S, Mokrab Y, Bertucci F, Finetti P, Curigliano G, Seliger B, Cerulo L, Tomei S, Delogu LG, Maccalli C, Wang E, Miller LD, Marincola FM, Ceccarelli M, Bedognetti D.

Oncoimmunology. 2017 Feb 6;6(2):e1253654. doi: 10.1080/2162402X.2016.1253654. eCollection 2017.

2.

Identification of long non-coding transcripts with feature selection: a comparative study.

Ventola GM, Noviello TM, D'Aniello S, Spagnuolo A, Ceccarelli M, Cerulo L.

BMC Bioinformatics. 2017 Mar 23;18(1):187. doi: 10.1186/s12859-017-1594-z.

3.

Detection of statistically significant network changes in complex biological networks.

Mall R, Cerulo L, Bensmail H, Iavarone A, Ceccarelli M.

BMC Syst Biol. 2017 Mar 4;11(1):32. doi: 10.1186/s12918-017-0412-6.

4.

Emerging Insight into MAPK Inhibitors and Immunotherapy in Colorectal Cancer.

Pancione M, Giordano G, Parcesepe P, Cerulo L, Coppola L, Curatolo AD, Conciatori F, Milella M, Porras A.

Curr Med Chem. 2017;24(14):1383-1402. doi: 10.2174/0929867324666170227114356.

PMID:
28245767
5.

Cancer-related CD15/FUT4 overexpression decreases benefit to agents targeting EGFR or VEGF acting as a novel RAF-MEK-ERK kinase downstream regulator in metastatic colorectal cancer.

Giordano G, Febbraro A, Tomaselli E, Sarnicola ML, Parcesepe P, Parente D, Forte N, Fabozzi A, Remo A, Bonetti A, Manfrin E, Ghasemi S, Ceccarelli M, Cerulo L, Bazzoni F, Pancione M.

J Exp Clin Cancer Res. 2015 Oct 1;34:108. doi: 10.1186/s13046-015-0225-7.

6.

Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer.

Remo A, Simeone I, Pancione M, Parcesepe P, Finetti P, Cerulo L, Bensmail H, Birnbaum D, Van Laere SJ, Colantuoni V, Bonetti F, Bertucci F, Manfrin E, Ceccarelli M.

J Transl Med. 2015 May 1;13:138. doi: 10.1186/s12967-015-0492-2.

7.

De novo reconstruction of gene regulatory networks from time series data, an approach based on formal methods.

Ceccarelli M, Cerulo L, Santone A.

Methods. 2014 Oct 1;69(3):298-305. doi: 10.1016/j.ymeth.2014.06.005. Epub 2014 Jun 21.

PMID:
24960286
8.

Identification of a novel gene signature of ES cells self-renewal fluctuation through system-wide analysis.

Cerulo L, Tagliaferri D, Marotta P, Zoppoli P, Russo F, Mazio C, DeFelice M, Ceccarelli M, Falco G.

PLoS One. 2014 Jan 2;9(1):e83235. doi: 10.1371/journal.pone.0083235. eCollection 2014.

9.

Ensemble of gene signatures identifies novel biomarkers in colorectal cancer activated through PPARγ and TNFα signaling.

Pagnotta SM, Laudanna C, Pancione M, Sabatino L, Votino C, Remo A, Cerulo L, Zoppoli P, Manfrin E, Colantuoni V, Ceccarelli M.

PLoS One. 2013 Aug 19;8(8):e72638. doi: 10.1371/journal.pone.0072638. eCollection 2013.

10.

A negative selection heuristic to predict new transcriptional targets.

Cerulo L, Paduano V, Zoppoli P, Ceccarelli M.

BMC Bioinformatics. 2013;14 Suppl 1:S3. doi: 10.1186/1471-2105-14-S1-S3. Epub 2013 Jan 14.

11.

VEGA: variational segmentation for copy number detection.

Morganella S, Cerulo L, Viglietto G, Ceccarelli M.

Bioinformatics. 2010 Dec 15;26(24):3020-7. doi: 10.1093/bioinformatics/btq586. Epub 2010 Oct 19.

PMID:
20959380
12.

Learning gene regulatory networks from only positive and unlabeled data.

Cerulo L, Elkan C, Ceccarelli M.

BMC Bioinformatics. 2010 May 5;11:228. doi: 10.1186/1471-2105-11-228.

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