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Items: 1 to 20 of 72

1.
2.

Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.

Remacle F, Kravchenko-Balasha N, Levitzki A, Levine RD.

Proc Natl Acad Sci U S A. 2010 Jun 1;107(22):10324-9. doi: 10.1073/pnas.1005283107.

3.

Computational surprisal analysis speeds-up genomic characterization of cancer processes.

Kravchenko-Balasha N, Simon S, Levine RD, Remacle F, Exman I.

PLoS One. 2014 Nov 18;9(11):e108549. doi: 10.1371/journal.pone.0108549.

4.

Convergence of logic of cellular regulation in different premalignant cells by an information theoretic approach.

Kravchenko-Balasha N, Remacle F, Gross A, Rotter V, Levitzki A, Levine RD.

BMC Syst Biol. 2011 Mar 16;5:42. doi: 10.1186/1752-0509-5-42.

5.

Integrated profiling of microRNAs and mRNAs: microRNAs located on Xq27.3 associate with clear cell renal cell carcinoma.

Zhou L, Chen J, Li Z, Li X, Hu X, Huang Y, Zhao X, Liang C, Wang Y, Sun L, Shi M, Xu X, Shen F, Chen M, Han Z, Peng Z, Zhai Q, Chen J, Zhang Z, Yang R, Ye J, Guan Z, Yang H, Gui Y, Wang J, Cai Z, Zhang X.

PLoS One. 2010 Dec 30;5(12):e15224. doi: 10.1371/journal.pone.0015224.

6.

Statistical thermodynamics of transcription profiles in normal development and tumorigeneses in cohorts of patients.

Remacle F, Levine RD.

Eur Biophys J. 2015 Dec;44(8):709-26. doi: 10.1007/s00249-015-1069-y.

PMID:
26290059
7.

[Use of the real-time RT-PCR method for investigation of small stable RNA expression level in human epidermoid carcinoma cells A431].

Nikitina TV, Nazarova NIu, Tishchenko LI, Tuohimaa P, Sedova VM.

Tsitologiia. 2003;45(4):392-402. Russian.

PMID:
14520871
8.

Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovarian and breast cancer.

Aris VM, Cody MJ, Cheng J, Dermody JJ, Soteropoulos P, Recce M, Tolias PP.

BMC Bioinformatics. 2004 Nov 29;5:185.

9.

Identifying superficial, muscle-invasive, and metastasizing transitional cell carcinoma of the bladder: use of cDNA array analysis of gene expression profiles.

Modlich O, Prisack HB, Pitschke G, Ramp U, Ackermann R, Bojar H, Vögeli TA, Grimm MO.

Clin Cancer Res. 2004 May 15;10(10):3410-21.

10.

Gene signatures developed from patient tumor explants grown in nude mice to predict tumor response to 11 cytotoxic drugs.

Fiebig HH, Schüler J, Bausch N, Hofmann M, Metz T, Korrat A.

Cancer Genomics Proteomics. 2007 May-Jun;4(3):197-209.

11.

Changes in var gene mRNA levels during erythrocytic development in two phenotypically distinct Plasmodium falciparum parasites.

Dahlbäck M, Lavstsen T, Salanti A, Hviid L, Arnot DE, Theander TG, Nielsen MA.

Malar J. 2007 Jun 12;6:78.

12.

Statistical analysis of high-density oligonucleotide arrays: a multiplicative noise model.

Sásik R, Calvo E, Corbeil J.

Bioinformatics. 2002 Dec;18(12):1633-40.

PMID:
12490448
13.

Identifying periodically expressed transcripts in microarray time series data.

Wichert S, Fokianos K, Strimmer K.

Bioinformatics. 2004 Jan 1;20(1):5-20.

PMID:
14693803
14.

Supervised group Lasso with applications to microarray data analysis.

Ma S, Song X, Huang J.

BMC Bioinformatics. 2007 Feb 22;8:60.

15.

Subspace differential coexpression analysis: problem definition and a general approach.

Fang G, Kuang R, Pandey G, Steinbach M, Myers CL, Kumar V.

Pac Symp Biocomput. 2010:145-56.

16.

Elucidating the altered transcriptional programs in breast cancer using independent component analysis.

Teschendorff AE, Journée M, Absil PA, Sepulchre R, Caldas C.

PLoS Comput Biol. 2007 Aug;3(8):e161.

17.

[Transcriptomes for serial analysis of gene expression].

Marti J, Piquemal D, Manchon L, Commes T.

J Soc Biol. 2002;196(4):303-7. Review. French.

PMID:
12645300
18.

Large intra- and inter-individual variability of genes expression levels limits potential predictive value of molecular diagnosis of dysplasia in Barrett's esophagus.

Hennig EE, Mikula M, Orlowska J, Jarosz D, Bielasik A, Regula J, Ostrowski J.

J Mol Med (Berl). 2008 Feb;86(2):233-42.

PMID:
17952395
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