메뉴 건너뛰기




Volumn 57, Issue 11, 2014, Pages 1103-1114

Edge biomarkers for classification and prediction of phenotypes

Author keywords

biomarker; classification; disease diagnosis; disease prognosis; dynamical network biomarker; edge biomarker; phenotype; prediction

Indexed keywords

BIOLOGICAL MARKER;

EID: 84922004018     PISSN: 16747305     EISSN: 18691889     Source Type: Journal    
DOI: 10.1007/s11427-014-4757-4     Document Type: Article
Times cited : (34)

References (67)
  • 1
    • 84865429505 scopus 로고    scopus 로고
    • A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory
    • COI: 1:CAS:528:DC%2BC38Xht1KrsrvN, PID: 22450380
    • Hood L, Flores M. A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. N Biotechnol, 2012, 29: 613–624
    • (2012) N Biotechnol , vol.29 , pp. 613-624
    • Hood, L.1    Flores, M.2
  • 2
    • 79952431304 scopus 로고    scopus 로고
    • Predictive, personalized, preventive, participatory (P4) cancer medicine
    • PID: 21364692
    • Hood L, Friend SH. Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat Rev Clin Oncol, 2011, 8: 184–187
    • (2011) Nat Rev Clin Oncol , vol.8 , pp. 184-187
    • Hood, L.1    Friend, S.H.2
  • 3
    • 78650323671 scopus 로고    scopus 로고
    • Predictive, preventive, personalized and participatory medicine: back to the future
    • PID: 20804580
    • Auffray C, Charron D, Hood L. Predictive, preventive, personalized and participatory medicine: back to the future. Genome Med, 2010, 2: 57
    • (2010) Genome Med , vol.2 , pp. 57
    • Auffray, C.1    Charron, D.2    Hood, L.3
  • 4
    • 84887815759 scopus 로고    scopus 로고
    • Network biomarkers reveal dysfunctional gene regulations during disease progression
    • Zeng T, Sun SY, Wang Y, Zhu H, Chen L. Network biomarkers reveal dysfunctional gene regulations during disease progression. FEBS J, 2013, doi:10.1111/febs.12536
    • (2013) FEBS J
    • Zeng, T.1    Sun, S.Y.2    Wang, Y.3    Zhu, H.4    Chen, L.5
  • 6
    • 84907653864 scopus 로고    scopus 로고
    • EdgeMarker: identifying differentially correlated molecule pairs as edge-biomarkers
    • Zhang W, Zeng T, Chen L. EdgeMarker: identifying differentially correlated molecule pairs as edge-biomarkers. J Theor Biol, 2014, doi:10.1016/j.jtbi.2014.05.041
    • (2014) J Theor Biol
    • Zhang, W.1    Zeng, T.2    Chen, L.3
  • 7
    • 84859741480 scopus 로고    scopus 로고
    • Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers
    • PID: 22461973
    • Chen L, Liu R, Liu ZP, Li M, Aihara K. Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers. Sci Rep, 2012, 2: 342
    • (2012) Sci Rep , vol.2 , pp. 342
    • Chen, L.1    Liu, R.2    Liu, Z.P.3    Li, M.4    Aihara, K.5
  • 8
    • 84871750865 scopus 로고    scopus 로고
    • Identifying critical transitions and their leading biomolecular networks in complex diseases
    • COI: 1:CAS:528:DC%2BC38Xks1yjt7o%3D, PID: 23230504
    • Liu R, Li M, Liu ZP, Wu J, Chen L, Aihara K. Identifying critical transitions and their leading biomolecular networks in complex diseases. Sci Rep, 2012, 2: 813
    • (2012) Sci Rep , vol.2 , pp. 813
    • Liu, R.1    Li, M.2    Liu, Z.P.3    Wu, J.4    Chen, L.5    Aihara, K.6
  • 9
    • 84897433296 scopus 로고    scopus 로고
    • Early diagnosis of complex diseases by molecular biomarkers, network biomarkers, and dynamical network biomarkers
    • Liu R, Wang X, Aihara K, Chen L. Early diagnosis of complex diseases by molecular biomarkers, network biomarkers, and dynamical network biomarkers. Med Res Rev, 2013, doi:10.1002/med.21293
    • (2013) Med Res Rev
    • Liu, R.1    Wang, X.2    Aihara, K.3    Chen, L.4
  • 10
    • 84901315597 scopus 로고    scopus 로고
    • Identifying critical transitions of complex diseases based on a single sample
    • Liu R, Yu X, Liu X, Xu D, Aihara K, Chen L. Identifying critical transitions of complex diseases based on a single sample. Bioinformatics, 2014, doi:10.1093/bioinformatics/btu084
    • (2014) Bioinformatics
    • Liu, R.1    Yu, X.2    Liu, X.3    Xu, D.4    Aihara, K.5    Chen, L.6
  • 11
    • 84896468768 scopus 로고    scopus 로고
    • 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. Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis. Brief Bioinform, 2013, doi: 10.1093/bib/bbt1027
    • (2013) Brief Bioinform
    • Li, M.1    Zeng, T.2    Liu, R.3    Chen, L.4
  • 12
    • 0035057806 scopus 로고    scopus 로고
    • BRCA1 and BRCA2 and the genetics of breast and ovarian cancer
    • COI: 1:CAS:528:DC%2BD3MXjt1ajsb8%3D, PID: 11257103
    • Welcsh PL, King MC. BRCA1 and BRCA2 and the genetics of breast and ovarian cancer. Hum Mol Genet, 2001, 10: 705–713
    • (2001) Hum Mol Genet , vol.10 , pp. 705-713
    • Welcsh, P.L.1    King, M.C.2
  • 14
    • 84879359890 scopus 로고    scopus 로고
    • Acid-sensing ion channels in pain and disease
    • COI: 1:CAS:528:DC%2BC3sXps1Ggtro%3D, PID: 23783197
    • Wemmie JA, Taugher RJ, Kreple CJ. Acid-sensing ion channels in pain and disease. Nat Rev Neurosci, 2013, 14: 461–471
    • (2013) Nat Rev Neurosci , vol.14 , pp. 461-471
    • Wemmie, J.A.1    Taugher, R.J.2    Kreple, C.J.3
  • 15
    • 84874471701 scopus 로고    scopus 로고
    • IL28B polymorphisms predict interferon-related hepatitis B surface antigen seroclearance in genotype D hepatitis B e antigen-negative patients with chronic hepatitis B
    • COI: 1:CAS:528:DC%2BC3sXjsFeltLw%3D, PID: 22473858
    • Lampertico P, Vigano M, Cheroni C, Facchetti F, Invernizzi F, Valveri V, Soffredini R, Abrignani S, de Francesco R, Colombo M. IL28B polymorphisms predict interferon-related hepatitis B surface antigen seroclearance in genotype D hepatitis B e antigen-negative patients with chronic hepatitis B. Hepatology, 2013, 57: 890–896
    • (2013) Hepatology , vol.57 , pp. 890-896
    • Lampertico, P.1    Vigano, M.2    Cheroni, C.3    Facchetti, F.4    Invernizzi, F.5    Valveri, V.6    Soffredini, R.7    Abrignani, S.8    de Francesco, R.9    Colombo, M.10
  • 18
    • 72849144434 scopus 로고    scopus 로고
    • Sequencing technologies-the next generation
    • COI: 1:CAS:528:DC%2BD1MXhsFOht7fO, PID: 19997069
    • Metzker ML. Sequencing technologies-the next generation. Nat Rev Genet, 2010, 11: 31–46
    • (2010) Nat Rev Genet , vol.11 , pp. 31-46
    • Metzker, M.L.1
  • 19
    • 70249134919 scopus 로고    scopus 로고
    • Molecular networks as sensors and drivers of common human diseases
    • COI: 1:CAS:528:DC%2BD1MXhtFSnt7jO, PID: 19741703
    • Schadt EE. Molecular networks as sensors and drivers of common human diseases. Nature, 2009, 461: 218–223
    • (2009) Nature , vol.461 , pp. 218-223
    • Schadt, E.E.1
  • 20
    • 84876394716 scopus 로고    scopus 로고
    • EllipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions
    • COI: 1:CAS:528:DC%2BC3sXjtVahsrs%3D, PID: 23262226
    • Ren X, Wang Y, Chen L, Zhang XS, Jin Q. ellipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions. Nucleic Acids Res, 2013, 41: e53
    • (2013) Nucleic Acids Res , vol.41 , pp. e53
    • Ren, X.1    Wang, Y.2    Chen, L.3    Zhang, X.S.4    Jin, Q.5
  • 21
    • 0034969437 scopus 로고    scopus 로고
    • Are rare variants responsible for susceptibility to complex diseases?
    • COI: 1:CAS:528:DC%2BD3MXls1emt7g%3D, PID: 11404818
    • Pritchard JK. Are rare variants responsible for susceptibility to complex diseases? Am J Hum Genet, 2001, 69: 124–137
    • (2001) Am J Hum Genet , vol.69 , pp. 124-137
    • Pritchard, J.K.1
  • 22
    • 0033786787 scopus 로고    scopus 로고
    • Linkage disequilibrium and the search for complex disease genes
    • COI: 1:CAS:528:DC%2BD3cXns1Siurk%3D, PID: 11042143
    • Jorde LB. Linkage disequilibrium and the search for complex disease genes. Genome Res, 2000, 10: 1435–1444
    • (2000) Genome Res , vol.10 , pp. 1435-1444
    • Jorde, L.B.1
  • 23
    • 84887815426 scopus 로고    scopus 로고
    • Complex disease: family history versus SNPs for disease predictions
    • Stower H. Complex disease: family history versus SNPs for disease predictions. Nat Rev Genet, 2012, 13: 827
    • (2012) Nat Rev Genet , vol.13 , pp. 827
    • Stower, H.1
  • 26
    • 38349146118 scopus 로고    scopus 로고
    • Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
    • PID: 17963508
    • Gormley M, Dampier W, Ertel A, Karacali B, Tozeren A. Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets. BMC Bioinformatics, 2007, 8: 415
    • (2007) BMC Bioinformatics , vol.8 , pp. 415
    • Gormley, M.1    Dampier, W.2    Ertel, A.3    Karacali, B.4    Tozeren, A.5
  • 28
    • 84873884420 scopus 로고    scopus 로고
    • Comparative evaluation of set-level techniques in predictive classification of gene expression samples
    • PID: 22759420
    • Holec M, Klema J, Zelezny F, Tolar J. Comparative evaluation of set-level techniques in predictive classification of gene expression samples. BMC Bioinformatics, 2012, 13(Suppl 10): S15
    • (2012) BMC Bioinformatics , vol.13 , pp. S15
    • Holec, M.1    Klema, J.2    Zelezny, F.3    Tolar, J.4
  • 29
    • 80053352806 scopus 로고    scopus 로고
    • A comparative study on gene-set analysis methods for assessing differential expression associated with the survival phenotype
    • PID: 21943316
    • Lee S, Kim J. A comparative study on gene-set analysis methods for assessing differential expression associated with the survival phenotype. BMC Bioinformatics, 2011, 12: 377
    • (2011) BMC Bioinformatics , vol.12 , pp. 377
    • Lee, S.1    Kim, J.2
  • 30
    • 77952478860 scopus 로고    scopus 로고
    • Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context
    • PID: 20500821
    • Abraham G, Kowalczyk A, Loi S, Haviv I, Zobel J. Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context. BMC Bioinformatics, 2010, 11: 277
    • (2010) BMC Bioinformatics , vol.11 , pp. 277
    • Abraham, G.1    Kowalczyk, A.2    Loi, S.3    Haviv, I.4    Zobel, J.5
  • 31
    • 33845412897 scopus 로고    scopus 로고
    • Pathway and gene-set activation measurement from mRNA expression data: the tissue distribution of human pathways
    • PID: 17044931
    • Levine DM, Haynor DR, Castle JC, Stepaniants SB, Pellegrini M, Mao M, Johnson JM. Pathway and gene-set activation measurement from mRNA expression data: the tissue distribution of human pathways. Genome Biol, 2006, 7: R93
    • (2006) Genome Biol , vol.7 , pp. R93
    • Levine, D.M.1    Haynor, D.R.2    Castle, J.C.3    Stepaniants, S.B.4    Pellegrini, M.5    Mao, M.6    Johnson, J.M.7
  • 32
    • 57149092133 scopus 로고    scopus 로고
    • Inferring pathway activity toward precise disease classification
    • PID: 18989396
    • Lee E, Chuang HY, Kim JW, Ideker T, Lee D. Inferring pathway activity toward precise disease classification. PLoS Comput Biol, 2008, 4: e1000217
    • (2008) PLoS Comput Biol , vol.4 , pp. e1000217
    • Lee, E.1    Chuang, H.Y.2    Kim, J.W.3    Ideker, T.4    Lee, D.5
  • 33
    • 78650373804 scopus 로고    scopus 로고
    • Network medicine: a network-based approach to human disease
    • COI: 1:CAS:528:DC%2BC3cXhsFOiu7vM, PID: 21164525
    • Barabasi AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet, 2011, 12: 56–68
    • (2011) Nat Rev Genet , vol.12 , pp. 56-68
    • Barabasi, A.L.1    Gulbahce, N.2    Loscalzo, J.3
  • 34
    • 74049122828 scopus 로고    scopus 로고
    • Cancer systems biology: a network modeling perspective
    • COI: 1:CAS:528:DC%2BC3cXktlCmsw%3D%3D, PID: 19861649
    • Kreeger PK, Lauffenburger DA. Cancer systems biology: a network modeling perspective. Carcinogenesis, 2010, 31: 2–8
    • (2010) Carcinogenesis , vol.31 , pp. 2-8
    • Kreeger, P.K.1    Lauffenburger, D.A.2
  • 35
    • 84876261160 scopus 로고    scopus 로고
    • Pathway-based personalized analysis of cancer
    • COI: 1:CAS:528:DC%2BC3sXnvVels7w%3D, PID: 23547110
    • Drier Y, Sheffer M, Domany E. Pathway-based personalized analysis of cancer. Proc Natl Acad Sci USA, 2013, 110: 6388–6393
    • (2013) Proc Natl Acad Sci USA , vol.110 , pp. 6388-6393
    • Drier, Y.1    Sheffer, M.2    Domany, E.3
  • 36
    • 35348891430 scopus 로고    scopus 로고
    • Network-based classification of breast cancer metastasis
    • PID: 17940530
    • Chuang HY, Lee E, Liu YT, Lee D, Ideker T. Network-based classification of breast cancer metastasis. Mol Syst Biol, 2007, 3: 140
    • (2007) Mol Syst Biol , vol.3 , pp. 140
    • Chuang, H.Y.1    Lee, E.2    Liu, Y.T.3    Lee, D.4    Ideker, T.5
  • 37
    • 79959392210 scopus 로고    scopus 로고
    • Optimally discriminative subnetwork markers predict response to chemotherapy
    • COI: 1:CAS:528:DC%2BC3MXnvVKgtL8%3D, PID: 21685072
    • Dao P, Wang K, Collins C, Ester M, Lapuk A, Sahinalp SC. Optimally discriminative subnetwork markers predict response to chemotherapy. Bioinformatics, 2011, 27: i205–213
    • (2011) Bioinformatics , vol.27 , pp. i205-i213
    • Dao, P.1    Wang, K.2    Collins, C.3    Ester, M.4    Lapuk, A.5    Sahinalp, S.C.6
  • 38
    • 82455188358 scopus 로고    scopus 로고
    • Identification of dysfunctional modules and disease genes in congenital heart disease by a network-based approach
    • COI: 1:CAS:528:DC%2BC38Xitl2qs7Y%3D, PID: 22136190
    • He D, Liu ZP, Chen L. Identification of dysfunctional modules and disease genes in congenital heart disease by a network-based approach. BMC Genomics, 2011, 12: 592
    • (2011) BMC Genomics , vol.12 , pp. 592
    • He, D.1    Liu, Z.P.2    Chen, L.3
  • 39
    • 77955484846 scopus 로고    scopus 로고
    • Identifying tightly regulated and variably expressed networks by Differential Rank Conservation (DIRAC)
    • PID: 20523739
    • Eddy JA, Hood L, Price ND, Geman D. Identifying tightly regulated and variably expressed networks by Differential Rank Conservation (DIRAC). PLoS Comput Biol, 2010, 6: e1000792
    • (2010) PLoS Comput Biol , vol.6 , pp. e1000792
    • Eddy, J.A.1    Hood, L.2    Price, N.D.3    Geman, D.4
  • 40
    • 71949103360 scopus 로고    scopus 로고
    • Cross-platform method for identifying candidate network biomarkers for prostate cancer
    • COI: 1:STN:280:DC%2BD1MjptF2qsw%3D%3D, PID: 19947776
    • Jin G, Zhou X, Cui K, Zhang XS, Chen L, Wong ST. Cross-platform method for identifying candidate network biomarkers for prostate cancer. IET Syst Biol, 2009, 3: 505–512
    • (2009) IET Syst Biol , vol.3 , pp. 505-512
    • Jin, G.1    Zhou, X.2    Cui, K.3    Zhang, X.S.4    Chen, L.5    Wong, S.T.6
  • 43
    • 84883000768 scopus 로고    scopus 로고
    • An integrated approach to identify causal network modules of complex diseases with application to colorectal cancer
    • PID: 22967703
    • Wen Z, Liu ZP, Liu Z, Zhang Y, Chen L. An integrated approach to identify causal network modules of complex diseases with application to colorectal cancer. J Am Med Inform Assoc, 2013, 20: 659–667
    • (2013) J Am Med Inform Assoc , vol.20 , pp. 659-667
    • Wen, Z.1    Liu, Z.P.2    Liu, Z.3    Zhang, Y.4    Chen, L.5
  • 44
    • 84887084951 scopus 로고    scopus 로고
    • Network-based stratification of tumor mutations
    • COI: 1:CAS:528:DC%2BC3sXhsVeqsrvM, PID: 24037242
    • Hofree M, Shen JP, Carter H, Gross A, Ideker T. Network-based stratification of tumor mutations. Nat Methods, 2013, 10: 1108–1115
    • (2013) Nat Methods , vol.10 , pp. 1108-1115
    • Hofree, M.1    Shen, J.P.2    Carter, H.3    Gross, A.4    Ideker, T.5
  • 45
    • 80053446196 scopus 로고    scopus 로고
    • Protein networks as logic functions in development and cancer
    • COI: 1:CAS:528:DC%2BC3MXhtlCmsbbM, PID: 21980275
    • Dutkowski J, Ideker T. Protein networks as logic functions in development and cancer. PLoS Comput Biol, 2011, 7: e1002180
    • (2011) PLoS Comput Biol , vol.7 , pp. e1002180
    • Dutkowski, J.1    Ideker, T.2
  • 46
    • 84863128658 scopus 로고    scopus 로고
    • Identifying disease genes and module biomarkers by differential interactions
    • PID: 22190040
    • Liu X, Liu ZP, Zhao XM, Chen L. Identifying disease genes and module biomarkers by differential interactions. J Am Med Inform Assoc, 2012, 19: 241–248
    • (2012) J Am Med Inform Assoc , vol.19 , pp. 241-248
    • Liu, X.1    Liu, Z.P.2    Zhao, X.M.3    Chen, L.4
  • 48
    • 78650897194 scopus 로고    scopus 로고
    • A network-based biomarker approach for molecular investigation and diagnosis of lung cancer
    • PID: 21211025
    • Wang YC, Chen BS. A network-based biomarker approach for molecular investigation and diagnosis of lung cancer. BMC Med Genomics, 2011, 4: 2
    • (2011) BMC Med Genomics , vol.4 , pp. 2
    • Wang, Y.C.1    Chen, B.S.2
  • 49
    • 84874903469 scopus 로고    scopus 로고
    • Classification of time series gene expression in clinical studies via integration of biological network
    • COI: 1:CAS:528:DC%2BC3sXks1Wgsrs%3D, PID: 23516469
    • Qian L, Zheng H, Zhou H, Qin R, Li J. classification of time series gene expression in clinical studies via integration of biological network. PLoS One, 2013, 8: e58383
    • (2013) PLoS One , vol.8 , pp. e58383
    • Qian, L.1    Zheng, H.2    Zhou, H.3    Qin, R.4    Li, J.5
  • 50
    • 84897903348 scopus 로고    scopus 로고
    • Prediction and early diagnosis of complex diseases by edge-network
    • Yu X, Li G, Chen L. Prediction and early diagnosis of complex diseases by edge-network. Bioinformatics, 2013, doi: 10.1093/bioin-formatics/btt620
    • (2013) Bioinformatics
    • Yu, X.1    Li, G.2    Chen, L.3
  • 53
    • 84897855254 scopus 로고    scopus 로고
    • Medicine: adapt current tools for handling big data
    • COI: 1:CAS:528:DC%2BC2cXks1ajs7k%3D, PID: 24646986
    • Sejdic E. Medicine: adapt current tools for handling big data. Nature, 2014, 507: 306
    • (2014) Nature , vol.507 , pp. 306
    • Sejdic, E.1
  • 54
    • 84885763671 scopus 로고    scopus 로고
    • A “big data” view of the tumor “immunome
    • COI: 1:CAS:528:DC%2BC3sXhs1eqtLzF, PID: 24138879
    • Restifo NP. A “big data” view of the tumor “immunome”. Immunity, 2013, 39: 631–632
    • (2013) Immunity , vol.39 , pp. 631-632
    • Restifo, N.P.1
  • 55
    • 84885621522 scopus 로고    scopus 로고
    • Development: big data for a sustainable future
    • COI: 1:CAS:528:DC%2BC3sXhsFGqsbjK, PID: 24091969
    • Gijzen H. Development: big data for a sustainable future. Nature, 2013, 502: 38
    • (2013) Nature , vol.502 , pp. 38
    • Gijzen, H.1
  • 56
    • 84879862460 scopus 로고    scopus 로고
    • Biology must develop its own big-data systems
    • COI: 1:CAS:528:DC%2BC3sXhtVGktLzN, PID: 23823760
    • Boyle J. Biology must develop its own big-data systems. Nature, 2013, 499: 7
    • (2013) Nature , vol.499 , pp. 7
    • Boyle, J.1
  • 57
    • 84878979335 scopus 로고    scopus 로고
    • Biology: the big challenges of big data
    • COI: 1:CAS:528:DC%2BC3sXptlGmsbw%3D, PID: 23765498
    • Marx V. Biology: the big challenges of big data. Nature, 2013, 498: 255–260
    • (2013) Nature , vol.498 , pp. 255-260
    • Marx, V.1
  • 59
    • 84856094560 scopus 로고    scopus 로고
    • Differential network biology
    • PID: 22252388
    • Ideker T, Krogan NJ. Differential network biology. Mol Syst Biol, 2012, 8: 565
    • (2012) Mol Syst Biol , vol.8 , pp. 565
    • Ideker, T.1    Krogan, N.J.2
  • 60
  • 61
    • 78149460182 scopus 로고    scopus 로고
    • DEGAS: de novo discovery of dysregulated pathways in human diseases
    • PID: 20976054
    • Ulitsky I, Krishnamurthy A, Karp RM, Shamir R. DEGAS: de novo discovery of dysregulated pathways in human diseases. PLoS One, 2010, 5: e13367
    • (2010) PLoS One , vol.5 , pp. e13367
    • Ulitsky, I.1    Krishnamurthy, A.2    Karp, R.M.3    Shamir, R.4
  • 62
    • 60149089400 scopus 로고    scopus 로고
    • Differential dependency network analysis to identify condition-specific topological changes in biological networks
    • PID: 19112081
    • Zhang B, Li H, Riggins RB, Zhan M, Xuan J, Zhang Z, Hoffman EP, Clarke R, Wang Y. Differential dependency network analysis to identify condition-specific topological changes in biological networks. Bioinformatics, 2009, 25: 526–532
    • (2009) Bioinformatics , vol.25 , pp. 526-532
    • Zhang, B.1    Li, H.2    Riggins, R.B.3    Zhan, M.4    Xuan, J.5    Zhang, Z.6    Hoffman, E.P.7    Clarke, R.8    Wang, Y.9
  • 64
    • 79551600768 scopus 로고    scopus 로고
    • Principal network analysis: identification of subnetworks representing major dynamics using gene expression data
    • COI: 1:CAS:528:DC%2BC3MXhs1Gisbg%3D, PID: 21193522
    • Kim Y, Kim TK, Yoo J, You S, Lee I, Carlson G, Hood L, Choi S, Hwang D. Principal network analysis: identification of subnetworks representing major dynamics using gene expression data. Bioinformatics, 2011, 27: 391–398
    • (2011) Bioinformatics , vol.27 , pp. 391-398
    • Kim, Y.1    Kim, T.K.2    Yoo, J.3    You, S.4    Lee, I.5    Carlson, G.6    Hood, L.7    Choi, S.8    Hwang, D.9
  • 65
    • 84869186030 scopus 로고    scopus 로고
    • Differential network entropy reveals cancer system hallmarks
    • PID: 23150773
    • West J, Bianconi G, Severini S, Teschendorff AE. Differential network entropy reveals cancer system hallmarks. Sci Rep, 2012, 2: 802
    • (2012) Sci Rep , vol.2 , pp. 802
    • West, J.1    Bianconi, G.2    Severini, S.3    Teschendorff, A.E.4
  • 66
    • 84887828585 scopus 로고    scopus 로고
    • Spatio-temporal analysis of type 2 diabetes mellitus based on differential expression networks
    • PID: 23881262
    • Sun SY, Liu ZP, Zeng T, Wang Y, Chen L. Spatio-temporal analysis of type 2 diabetes mellitus based on differential expression networks. Sci Rep, 2013, 3: 2268
    • (2013) Sci Rep , vol.3 , pp. 2268
    • Sun, S.Y.1    Liu, Z.P.2    Zeng, T.3    Wang, Y.4    Chen, L.5
  • 67
    • 84901387868 scopus 로고    scopus 로고
    • Deciphering early development of complex diseases by progressive module network
    • Zeng T, Zhang CC, Zhang W, Liu R, Liu J, Chen L. Deciphering early development of complex diseases by progressive module network. Methods, 2014, http://dx.doi.org/10.1016/j.ymeth.2014.01.021
    • (2014) Methods
    • Zeng, T.1    Zhang, C.C.2    Zhang, W.3    Liu, R.4    Liu, J.5    Chen, L.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.