Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 236

Cited In for PubMed (Select 11385503)

1.

A novel hybrid dimension reduction technique for undersized high dimensional gene expression data sets using information complexity criterion for cancer classification.

Pamukçu E, Bozdogan H, Çalık S.

Comput Math Methods Med. 2015;2015:370640. doi: 10.1155/2015/370640. Epub 2015 Feb 19.

2.

Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification.

Nguyen T, Khosravi A, Creighton D, Nahavandi S.

PLoS One. 2015 Mar 30;10(3):e0120364. doi: 10.1371/journal.pone.0120364. eCollection 2015.

3.

Genetic programming based ensemble system for microarray data classification.

Liu KH, Tong M, Xie ST, Yee Ng VT.

Comput Math Methods Med. 2015;2015:193406. doi: 10.1155/2015/193406. Epub 2015 Feb 25.

4.

Selective model averaging with bayesian rule learning for predictive biomedicine.

Balasubramanian JB, Visweswaran S, Cooper GF, Gopalakrishnan V.

AMIA Jt Summits Transl Sci Proc. 2014 Apr 7;2014:17-22. eCollection 2014.

5.

Ranking the quality of protein structure models using sidechain based network properties.

Ghosh S, Vishveshwara S.

F1000Res. 2014 Jan 21;3:17. doi: 10.12688/f1000research.3-17.v1. eCollection 2014.

6.

Assessment of cancer cell line representativeness using microarrays for merkel cell carcinoma.

Daily K, Coxon A, Williams JS, Lee CC, Coit DG, Busam KJ, Brownell I.

J Invest Dermatol. 2015 Apr;135(4):1138-46. doi: 10.1038/jid.2014.518. Epub 2014 Dec 18.

PMID:
25521454
7.

A rapid one-generation genetic screen in a Drosophila model to capture rhabdomyosarcoma effectors and therapeutic targets.

Galindo KA, Endicott TR, Avirneni-Vadlamudi U, Galindo RL.

G3 (Bethesda). 2014 Dec 9;5(2):205-17. doi: 10.1534/g3.114.015818.

8.

Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework.

Yang L, Ainali C, Tsoka S, Papageorgiou LG.

BMC Bioinformatics. 2014 Dec 5;15(1):390. doi: 10.1186/s12859-014-0390-2.

9.

A review of feature extraction software for microarray gene expression data.

Tan CS, Ting WS, Mohamad MS, Chan WH, Deris S, Shah ZA.

Biomed Res Int. 2014;2014:213656. doi: 10.1155/2014/213656. Epub 2014 Aug 31.

10.

Conceptualizing cancer drugs as classifiers.

Lawlor PN, Kalisky T, Rosner R, Rosner MR, Kording KP.

PLoS One. 2014 Sep 23;9(9):e106444. doi: 10.1371/journal.pone.0106444. eCollection 2014.

11.

Resampling methods improve the predictive power of modeling in class-imbalanced datasets.

Lee PH.

Int J Environ Res Public Health. 2014 Sep 18;11(9):9776-89. doi: 10.3390/ijerph110909776.

12.

Protein tyrosine phosphatases as potential therapeutic targets.

He RJ, Yu ZH, Zhang RY, Zhang ZY.

Acta Pharmacol Sin. 2014 Oct;35(10):1227-46. doi: 10.1038/aps.2014.80. Epub 2014 Sep 15. Review.

13.

Informative gene selection and direct classification of tumor based on Chi-square test of pairwise gene interactions.

Zhang H, Li L, Luo C, Sun C, Chen Y, Dai Z, Yuan Z.

Biomed Res Int. 2014;2014:589290. doi: 10.1155/2014/589290. Epub 2014 Jul 23.

14.

Learning a weighted meta-sample based parameter free sparse representation classification for microarray data.

Liao B, Jiang Y, Yuan G, Zhu W, Cai L, Cao Z.

PLoS One. 2014 Aug 12;9(8):e104314. doi: 10.1371/journal.pone.0104314. eCollection 2014.

15.

A kernel-based multivariate feature selection method for microarray data classification.

Sun S, Peng Q, Shakoor A.

PLoS One. 2014 Jul 21;9(7):e102541. doi: 10.1371/journal.pone.0102541. eCollection 2014.

16.

Molecular extraction in single live cells by sneaking in and out magnetic nanomaterials.

Yang Z, Deng L, Lan Y, Zhang X, Gao Z, Chu CW, Cai D, Ren Z.

Proc Natl Acad Sci U S A. 2014 Jul 29;111(30):10966-71. doi: 10.1073/pnas.1411802111. Epub 2014 Jul 16.

17.

Artificial neural network inference (ANNI): a study on gene-gene interaction for biomarkers in childhood sarcomas.

Tong DL, Boocock DJ, Dhondalay GK, Lemetre C, Ball GR.

PLoS One. 2014 Jul 15;9(7):e102483. doi: 10.1371/journal.pone.0102483. eCollection 2014.

18.

Gene expression profiling of colorectal tumors and normal mucosa by microarrays meta-analysis using prediction analysis of microarray, artificial neural network, classification, and regression trees.

Chu CM, Yao CT, Chang YT, Chou HL, Chou YC, Chen KH, Terng HJ, Huang CS, Lee CC, Su SL, Liu YC, Lin FG, Wetter T, Chang CW.

Dis Markers. 2014;2014:634123. doi: 10.1155/2014/634123. Epub 2014 May 19.

19.

Screening of hyaluronic acid-poly(ethylene glycol) composite hydrogels to support intervertebral disc cell biosynthesis using artificial neural network analysis.

Jeong CG, Francisco AT, Niu Z, Mancino RL, Craig SL, Setton LA.

Acta Biomater. 2014 Aug;10(8):3421-30. doi: 10.1016/j.actbio.2014.05.012. Epub 2014 May 21.

PMID:
24859415
20.

Diagnostic Utility of Gene Expression Profiles.

Xiong C, Yan Y, Gao F.

J Biom Biostat. 2013 Jan 4;4(1). pii: 1000158.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk