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Items: 1 to 20 of 165


Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis.

Li M, Zeng T, Liu R, Chen L.

Brief Bioinform. 2014 Mar;15(2):229-43. doi: 10.1093/bib/bbt027. Epub 2013 Apr 25.


Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers.

Liu X, Liu R, Zhao XM, Chen L.

BMC Med Genomics. 2013;6 Suppl 2:S8. doi: 10.1186/1755-8794-6-S2-S8. Epub 2013 May 7.


Deciphering early development of complex diseases by progressive module network.

Zeng T, Zhang CC, Zhang W, Liu R, Liu J, Chen L.

Methods. 2014 Jun 1;67(3):334-43. doi: 10.1016/j.ymeth.2014.01.021. Epub 2014 Feb 21.


Identifying critical transitions of complex diseases based on a single sample.

Liu R, Yu X, Liu X, Xu D, Aihara K, Chen L.

Bioinformatics. 2014 Jun 1;30(11):1579-86. doi: 10.1093/bioinformatics/btu084. Epub 2014 Feb 10.


Early diagnosis of complex diseases by molecular biomarkers, network biomarkers, and dynamical network biomarkers.

Liu R, Wang X, Aihara K, Chen L.

Med Res Rev. 2014 May;34(3):455-78. doi: 10.1002/med.21293. Epub 2013 Jun 17. Review.


Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers.

Chen L, Liu R, Liu ZP, Li M, Aihara K.

Sci Rep. 2012;2:342. doi: 10.1038/srep00342. Epub 2012 Mar 29.


Network biomarkers reveal dysfunctional gene regulations during disease progression.

Zeng T, Sun SY, Wang Y, Zhu H, Chen L.

FEBS J. 2013 Nov;280(22):5682-95. doi: 10.1111/febs.12536. Epub 2013 Oct 22. Review.


Identifying critical transitions and their leading biomolecular networks in complex diseases.

Liu R, Li M, Liu ZP, Wu J, Chen L, Aihara K.

Sci Rep. 2012;2:813. doi: 10.1038/srep00813. Epub 2012 Dec 10.


Prediction and early diagnosis of complex diseases by edge-network.

Yu X, Li G, Chen L.

Bioinformatics. 2014 Mar 15;30(6):852-9. doi: 10.1093/bioinformatics/btt620. Epub 2013 Oct 31.


Network screening of Goto-Kakizaki rat liver microarray data during diabetic progression.

Zhou H, Saito S, Piao G, Liu ZP, Wang J, Horimoto K, Chen L.

BMC Syst Biol. 2011 Jun 20;5 Suppl 1:S16. doi: 10.1186/1752-0509-5-S1-S16.


Low-Grade Dysplastic Nodules Revealed as the Tipping Point during Multistep Hepatocarcinogenesis by Dynamic Network Biomarkers.

Lu L, Jiang Z, Dai Y, Chen L.

Genes (Basel). 2017 Oct 13;8(10). pii: E268. doi: 10.3390/genes8100268.


Identifying critical differentiation state of MCF-7 cells for breast cancer by dynamical network biomarkers.

Chen P, Liu R, Chen L, Aihara K.

Front Genet. 2015 Jul 28;6:252. doi: 10.3389/fgene.2015.00252. eCollection 2015.


Edge biomarkers for classification and prediction of phenotypes.

Zeng T, Zhang W, Yu X, Liu X, Li M, Liu R, Chen L.

Sci China Life Sci. 2014 Nov;57(11):1103-14. doi: 10.1007/s11427-014-4757-4. Epub 2014 Oct 17. Review.


Spatio-temporal analysis of type 2 diabetes mellitus based on differential expression networks.

Sun SY, Liu ZP, Zeng T, Wang Y, Chen L.

Sci Rep. 2013;3:2268. doi: 10.1038/srep02268.


Quantifying critical states of complex diseases using single-sample dynamic network biomarkers.

Liu X, Chang X, Liu R, Yu X, Chen L, Aihara K.

PLoS Comput Biol. 2017 Jul 5;13(7):e1005633. doi: 10.1371/journal.pcbi.1005633. eCollection 2017 Jul.


Association of Rev-erbĪ± in adipose tissues with Type 2 diabetes mellitus amelioration after gastric bypass surgery in Goto-Kakizaki rats.

Zhang R, Yan C, Zhou X, Qian B, Li F, Sun Y, Shi C, Li B, Saito S, Horimoto K, Zhou H.

Am J Physiol Regul Integr Comp Physiol. 2013 Jul 15;305(2):R134-46. doi: 10.1152/ajpregu.00520.2012. Epub 2013 May 1.


Defining and characterizing the critical transition state prior to the type 2 diabetes disease.

Jin B, Liu R, Hao S, Li Z, Zhu C, Zhou X, Chen P, Fu T, Hu Z, Wu Q, Liu W, Liu D, Yu Y, Zhang Y, McElhinney DB, Li YM, Culver DS, Alfreds ST, Stearns F, Sylvester KG, Widen E, Ling XB.

PLoS One. 2017 Jul 7;12(7):e0180937. doi: 10.1371/journal.pone.0180937. eCollection 2017.


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.


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