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Items: 1 to 20 of 84

1.

Identifying early events of gene expression in breast cancer with systems biology phylogenetics.

Abu-Asab MS, Abu-Asab N, Loffredo CA, Clarke R, Amri H.

Cytogenet Genome Res. 2013;139(3):206-14. doi: 10.1159/000348433. Epub 2013 Apr 3.

2.

A Systems Biology Interpretation of Array Comparative Genomic Hybridization (aCGH) Data through Phylogenetics.

Abunimer AN, Salazar J, Noursi DP, Abu-Asab MS.

OMICS. 2016 Mar;20(3):169-79. doi: 10.1089/omi.2015.0184.

3.

Biomarkers in the age of omics: time for a systems biology approach.

Abu-Asab MS, Chaouchi M, Alesci S, Galli S, Laassri M, Cheema AK, Atouf F, VanMeter J, Amri H.

OMICS. 2011 Mar;15(3):105-12. doi: 10.1089/omi.2010.0023. Epub 2011 Feb 14.

4.

Analyzing heterogeneous complexity in complementary and alternative medicine research: a systems biology solution via parsimony phylogenetics.

Abu-Asab M, Koithan M, Shaver J, Amri H.

Forsch Komplementmed. 2012;19 Suppl 1:42-8. doi: 10.1159/000335190. Epub 2012 Jan 20.

5.

Phylogenetic modeling of heterogeneous gene-expression microarray data from cancerous specimens.

Abu-Asab MS, Chaouchi M, Amri H.

OMICS. 2008 Sep;12(3):183-99. doi: 10.1089/omi.2008.0010.

6.

Identifying cancer biomarkers by network-constrained support vector machines.

Chen L, Xuan J, Riggins RB, Clarke R, Wang Y.

BMC Syst Biol. 2011 Oct 12;5:161. doi: 10.1186/1752-0509-5-161.

7.

Evolutionary medicine: A meaningful connection between omics, disease, and treatment.

Abu-Asab M, Chaouchi M, Amri H.

Proteomics Clin Appl. 2008 Feb;2(2):122-134.

8.

A transcriptional sketch of a primary human breast cancer by 454 deep sequencing.

Guffanti A, Iacono M, Pelucchi P, Kim N, Soldà G, Croft LJ, Taft RJ, Rizzi E, Askarian-Amiri M, Bonnal RJ, Callari M, Mignone F, Pesole G, Bertalot G, Bernardi LR, Albertini A, Lee C, Mattick JS, Zucchi I, De Bellis G.

BMC Genomics. 2009 Apr 20;10:163. doi: 10.1186/1471-2164-10-163.

9.

Comparison of breast cancer to healthy control tissue discovers novel markers with potential for prognosis and early detection.

Schummer M, Green A, Beatty JD, Karlan BY, Karlan S, Gross J, Thornton S, McIntosh M, Urban N.

PLoS One. 2010 Feb 9;5(2):e9122. doi: 10.1371/journal.pone.0009122. Erratum in: PLoS One. 2010;5(4). doi: 10.1371/annotation/632c5ae8-271b-4d19-8509-dc3b2eefe6a4.

10.

[Foundations of the new phylogenetics].

Pavlinov IIa.

Zh Obshch Biol. 2004 Jul-Aug;65(4):334-66. Russian.

PMID:
15490579
11.

Systems biology and genomics of breast cancer.

Perou CM, Børresen-Dale AL.

Cold Spring Harb Perspect Biol. 2011 Feb 1;3(2). pii: a003293. doi: 10.1101/cshperspect.a003293. Review.

12.

Aging impacts transcriptomes but not genomes of hormone-dependent breast cancers.

Yau C, Fedele V, Roydasgupta R, Fridlyand J, Hubbard A, Gray JW, Chew K, Dairkee SH, Moore DH, Schittulli F, Tommasi S, Paradiso A, Albertson DG, Benz CC.

Breast Cancer Res. 2007;9(5):R59.

13.

Tumor microRNA expression profiling identifies circulating microRNAs for early breast cancer detection.

Matamala N, Vargas MT, González-Cámpora R, Miñambres R, Arias JI, Menéndez P, Andrés-León E, Gómez-López G, Yanowsky K, Calvete-Candenas J, Inglada-Pérez L, Martínez-Delgado B, Benítez J.

Clin Chem. 2015 Aug;61(8):1098-106. doi: 10.1373/clinchem.2015.238691. Epub 2015 Jun 8.

14.

Proliferative genes dominate malignancy-risk gene signature in histologically-normal breast tissue.

Chen DT, Nasir A, Culhane A, Venkataramu C, Fulp W, Rubio R, Wang T, Agrawal D, McCarthy SM, Gruidl M, Bloom G, Anderson T, White J, Quackenbush J, Yeatman T.

Breast Cancer Res Treat. 2010 Jan;119(2):335-46. doi: 10.1007/s10549-009-0344-y. Epub 2009 Mar 6.

15.

Molecular classification of breast tumors: toward improved diagnostics and treatments.

Sørlie T.

Methods Mol Biol. 2007;360:91-114. Review.

PMID:
17172726
16.

miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.

Riaz M, van Jaarsveld MT, Hollestelle A, Prager-van der Smissen WJ, Heine AA, Boersma AW, Liu J, Helmijr J, Ozturk B, Smid M, Wiemer EA, Foekens JA, Martens JW.

Breast Cancer Res. 2013 Apr 19;15(2):R33. doi: 10.1186/bcr3415.

17.

Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.

Suo C, Hrydziuszko O, Lee D, Pramana S, Saputra D, Joshi H, Calza S, Pawitan Y.

Bioinformatics. 2015 Aug 15;31(16):2607-13. doi: 10.1093/bioinformatics/btv164. Epub 2015 Mar 24.

PMID:
25810432
18.

Cancer systems biology: exploring cancer-associated genes on cellular networks.

Wang E, Lenferink A, O'Connor-McCourt M.

Cell Mol Life Sci. 2007 Jul;64(14):1752-62. Review.

PMID:
17415519
19.

Mixture classification model based on clinical markers for breast cancer prognosis.

Zeng T, Liu J.

Artif Intell Med. 2010 Feb-Mar;48(2-3):129-37. doi: 10.1016/j.artmed.2009.07.008. Epub 2009 Dec 14.

PMID:
20005686
20.

Identification of potential biomarkers from microarray experiments using multiple criteria optimization.

Sánchez-Peña ML, Isaza CE, Pérez-Morales J, Rodríguez-Padilla C, Castro JM, Cabrera-Ríos M.

Cancer Med. 2013 Apr;2(2):253-65. doi: 10.1002/cam4.69. Epub 2013 Feb 27.

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