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Results: 18

1.

Evolving transcriptomic fingerprint based on genome-wide data as prognostic tools in prostate cancer.

Alshalalfa M, Schliekelman M, Shin H, Erho N, Davicioni E.

Biol Cell. 2015 Apr 21. doi: 10.1111/boc.201400097. [Epub ahead of print]

PMID:
25900404
2.

Clinical and genomic analysis of metastatic prostate cancer progression with a background of postoperative biochemical recurrence.

Alshalalfa M, Crisan A, Vergara IA, Ghadessi M, Buerki C, Erho N, Yousefi K, Sierocinski T, Haddad Z, Black PC, Karnes RJ, Jenkins RB, Davicioni E.

BJU Int. 2014 Dec 8. doi: 10.1111/bju.13013. [Epub ahead of print]

PMID:
25762434
3.

Discovery and validation of novel expression signature for postcystectomy recurrence in high-risk bladder cancer.

Mitra AP, Lam LL, Ghadessi M, Erho N, Vergara IA, Alshalalfa M, Buerki C, Haddad Z, Sierocinski T, Triche TJ, Skinner EC, Davicioni E, Daneshmand S, Black PC.

J Natl Cancer Inst. 2014 Oct 24;106(11). pii: dju290. doi: 10.1093/jnci/dju290. Print 2014 Nov.

4.

The prognostic significance of combined ERG and androgen receptor expression in patients with prostate cancer managed by androgen deprivation therapy.

Huang KC, Alshalalfa M, Hegazy SA, Dolph M, Donnelly B, Bismar TA.

Cancer Biol Ther. 2014 Sep;15(9):1120-8. doi: 10.4161/cbt.29689. Epub 2014 Jun 27.

PMID:
24972028
5.

The IncRNAs PCGEM1 and PRNCR1 are not implicated in castration resistant prostate cancer.

Prensner JR, Sahu A, Iyer MK, Malik R, Chandler B, Asangani IA, Poliakov A, Vergara IA, Alshalalfa M, Jenkins RB, Davicioni E, Feng FY, Chinnaiyan AM.

Oncotarget. 2014 Mar 30;5(6):1434-8.

6.

Cysteine- rich secretory protein 3 (CRISP3), ERG and PTEN define a molecular subtype of prostate cancer with implication to patients' prognosis.

Al Bashir S, Alshalalfa M, Hegazy SA, Dolph M, Donnelly B, Bismar TA.

J Hematol Oncol. 2014 Mar 7;7:21. doi: 10.1186/1756-8722-7-21.

7.

miRNA regulation in the context of functional protein networks: principles and applications.

Alshalalfa M.

Wiley Interdiscip Rev Syst Biol Med. 2014 Mar-Apr;6(2):189-99. doi: 10.1002/wsbm.1251. Epub 2013 Nov 8.

PMID:
24532562
8.

Prediction of novel drug indications using network driven biological data prioritization and integration.

Qabaja A, Alshalalfa M, Alanazi E, Alhajj R.

J Cheminform. 2014 Jan 7;6(1):1. doi: 10.1186/1758-2946-6-1.

9.

Coordinate microRNA-mediated regulation of protein complexes in prostate cancer.

Alshalalfa M, Bader GD, Bismar TA, Alhajj R.

PLoS One. 2013 Dec 31;8(12):e84261. doi: 10.1371/journal.pone.0084261. eCollection 2013.

10.

Using context-specific effect of miRNAs to identify functional associations between miRNAs and gene signatures.

Alshalalfa M, Alhajj R.

BMC Bioinformatics. 2013;14 Suppl 12:S1. doi: 10.1186/1471-2105-14-S12-S1. Epub 2013 Sep 24.

11.

Interrogation of ERG gene rearrangements in prostate cancer identifies a prognostic 10-gene signature with relevant implication to patients' clinical outcome.

Bismar TA, Alshalalfa M, Petersen LF, Teng LH, Gerke T, Bakkar A, Al-Mami A, Liu S, Dolph M, Mucci LA, Alhajj R.

BJU Int. 2014 Feb;113(2):309-19. doi: 10.1111/bju.12262. Epub 2013 Sep 5.

PMID:
24006850
12.

Protein network-based Lasso regression model for the construction of disease-miRNA functional interactions.

Qabaja A, Alshalalfa M, Bismar TA, Alhajj R.

EURASIP J Bioinform Syst Biol. 2013 Jan 22;2013(1):3. doi: 10.1186/1687-4153-2013-3.

13.

MicroRNA Response Elements-Mediated miRNA-miRNA Interactions in Prostate Cancer.

Alshalalfa M.

Adv Bioinformatics. 2012;2012:839837. doi: 10.1155/2012/839837. Epub 2012 Nov 4.

14.

Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study.

Alshalalfa M, Bader GD, Goldenberg A, Morris Q, Alhajj R.

BMC Syst Biol. 2012 Aug 28;6:112. doi: 10.1186/1752-0509-6-112.

15.

Detecting cancer outlier genes with potential rearrangement using gene expression data and biological networks.

Alshalalfa M, Bismar TA, Alhajj R.

Adv Bioinformatics. 2012;2012:373506. doi: 10.1155/2012/373506. Epub 2012 Jun 28.

16.

Combining multiple perspective as intelligent agents into robust approach for biomarker detection in gene expression data.

Alshalalfa M, Naji G, Qabaja A, Alhajj R, Rokne J.

Int J Data Min Bioinform. 2011;5(3):332-50.

PMID:
21805827
17.

Influence of prior knowledge in constraint-based learning of gene regulatory networks.

Tan M, Alshalalfa M, Alhajj R, Polat F.

IEEE/ACM Trans Comput Biol Bioinform. 2011 Jan-Mar;8(1):130-42. doi: 10.1109/TCBB.2009.58.

PMID:
21071802
18.

Adaptive machine learning technique for periodicity detection in biological sequences.

Rasheed F, Alshalalfa M, Alhajj R.

Int J Neural Syst. 2009 Feb;19(1):11-24.

PMID:
19263500
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