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Papers that cite EXPANDER:

  1. Äijö, T., Bonneau, R. Biophysically motivated regulatory network inference: Progress and prospects. Human Heredity, 81 ( 2 ) pp. 62 - 77, 2017.
  2. Sumazin, P., Chen, Y., Treviño, L.R., Sarabia, S.F., Hampton, O.A., Patel, K., Mistretta, T.-A., Zorman, B., Thompson, P., Heczey, A., Comerford, S., Wheeler, D.A., Chintagumpala, M., Meyers, R., Rakheja, D., Finegold, M.J., Tomlinson, G., Parsons, D.W., López-Terrada, D. Genomic analysis of hepatoblastoma identifies distinct molecular and prognostic subgroups. Hepatology, 65 ( 1 ) pp. 104 - 121, 2017.
  3. Bar-Lavan, Y., Shemesh, N., Dror, S., Ofir, R., Yeger-Lotem, E., Ben-Zvi, A. A Differentiation Transcription Factor Establishes Muscle-Specific Proteostasis in Caenorhabditis elegans. PLoS Genetics, 12 ( 12 ) , art. no. e1006531, 2016.
  4. Itkin, M., Davidovich-Rikanati, R., Cohen, S., Portnoy, V., Doron-Faigenboim, A., Oren, E., Freilich, S., Tzuri, G., Baranes, N., Shen, S., Petreikov, M., Sertchook, R., Ben-Dor, S., Gottlieb, H., Hernandez, A., Nelson, D.R., Paris, H.S., Tadmor, Y., Burger, Y., Lewinsohn, E., Katzir, N., Schaffer, A. The biosynthetic pathway of the nonsugar, high-intensity sweetener mogroside V from Siraitia grosvenorii. Proceedings of the National Academy of Sciences of the United States of America, 113 ( 47 ) pp. E7619 - E7628, 2016.
  5. Xie, Y., Liu, Y., Valdar, W. Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics. Biometrika, 103 ( 3 ) pp. 493 - 511, 2016.
  6. Pourreza-Shahri, M., Kahani, M., Ekbia, H.-R. Providing FAQ lists based on ontology. 2016 24th Iranian Conference on Electrical Engineering, ICEE 2016 , art. no. 7585537 , pp. 305 - 310, 2016.
  7. Horie, M., Yamaguchi, Y., Saito, A., Nagase, T., Lizio, M., Itoh, M., Kawaji, H., Lassmann, T., Carninci, P., Forrest, A.R.R., Hayashizaki, Y., Suzutani, T., Kappert, K., Micke, P., Ohshima, M. Transcriptome analysis of periodontitis-associated fibroblasts by CAGE sequencing identified DLX5 and RUNX2 long variant as novel regulators involved in periodontitis. Scientific Reports, 6 , art. no. 33666, 2016.
  8. Maron-Katz, A., Amar, D., Simon, E.B., Hendler, T., Shamir, R. RichMind: A tool for improved inference from large-scale neuroimaging results. PLoS ONE, 11 ( 7 ), art. no. e0159643, 2016.
  9. Mhenni, R.B., Mhamdi, A., Naanaa, W. La classification des gènes basée sur les csp pondérés. Douziemes Journees Francophones de Programmation par Contraintes, JFPC 2016, pp. 173 - 182, 2016.
  10. Ray, S., Chakraborty, S., Mukhopadhyay, A. DCoSpect: A novel differentially coexpressed gene module detection algorithm using spectral clustering. Advances in Intelligent Systems and Computing, 404 pp. 69 - 77, 2016.
  11. Alvarez, J.I., Prat, A., Sobel, R.A., Kobzik, L., Lassmann, H., Quintana, F.J., Weiner, H.L. Integrated Genomic and Network-Based Analyses of Complex Diseases and Human Disease Network. Journal of Genetics and Genomics, 43 ( 6 ) pp. 349 - 367, 2016.
  12. Mayo, L., Cunha, A.P.D., Madi, A., Beynon, V., Yang, Z., Alvarez, J.I., Prat, A., Sobel, R.A., Kobzik, L., Lassmann, H., Quintana, F.J., Weiner, H.L. IL-10-dependent Tr1 cells attenuate astrocyte activation and ameliorate chronic central nervous system inflammation. Brain, 139 ( 7 ) pp. 1939 - 1957, 2016.
  13. Tichon, A., Gil, N., Lubelsky, Y., Solomon, T.H., Lemze, D., Itzkovitz, S., Stern-Ginossar, N., Ulitsky, I. A conserved abundant cytoplasmic long noncoding RNA modulates repression by Pumilio proteins in human cells. Nature Communications, 7 , art. no. 12209, 2016.
  14. Hayamizu, K., Manji, A. Application of Genomics and Bioinformatics Analysis in Exploratory Study of Functional Foods. Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods: Second Edition, pp. 140 - 149, 2016.
  15. Bar-Lev, Y., Moshitch-Moshkovitz, S., Tsarfaty, G., Kaufman, D., Horev, J., Resau, J.H., Tsarfaty, I. Mimp/Mtch2, an obesity susceptibility gene, induces alteration of fatty acid metabolism in transgenic mice. PLoS ONE, 11 ( 6 ) , art. no. e0157850, 2016.
  16. Grunin, M., Shira-Hagbi-Levi, Rinsky, B., Smith, Y., Chowers, I. Transcriptome analysis on monocytes from patients with neovascular age-related macular degeneration. Scientific Reports, 6 , art. no. 29046, 2016.
  17. Netanely, D., Avraham, A., Ben-Baruch, A., Evron, E., Shamir, R. Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups. Breast Cancer Research, 18 ( 1 ) , art. no. 74, 2016.
  18. Mora-Castilla, S., To, C., Vaezeslami, S., Morey, R., Srinivasan, S., Dumdie, J.N., Cook-Andersen, H., Jenkins, J., Laurent, L.C. Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing. Journal of Laboratory Automation, 21 ( 4 ) pp. 557 - 567, 2016.
  19. Sala, V., Gatti, S., Gallo, S., Medico, E., Cantarella, D., Cimino, J., Ponzetto, A., Crepaldi, T. A New Transgenic Mouse Model of Heart Failure and Cardiac Cachexia Raised by Sustained Activation of Met Tyrosine Kinase in the Heart. BioMed Research International, art. no. 9549036, 2016.
  20. Chitforoushzadeh, Z., Ye, Z., Sheng, Z., La Rue, S., Fry, R.C., Lauffenburger, D.A., Janes, K.A. TNF-insulin crosstalk at the transcription factor GATA6 is revealed by a model that links signaling and transcriptomic data tensors. Science Signaling, 9 ( 431 ) , art. no. ra59, 2016.
  21. Roy, S., Bhattacharyya, D.K., Kalita, J.K. Analysis of gene expression patterns using biclustering. Methods in Molecular Biology, 1375 pp. 91 - 103, 2016.
  22. Pérez-Delgado, C.M., Moyano, T.C., García-Calderón, M., Canales, J., Gutiérrez, R.A., Márquez, A.J., Betti, M. Use of transcriptomics and co-expression networks to analyze the interconnections between nitrogen assimilation and photorespiratory metabolism. Journal of Experimental Botany, 67 ( 10 ) pp. 3095 - 3108, 2016.
  23. Greulich, F., Trowe, M.-O., Leffler, A., Stoetzer, C., Farin, H.F., Kispert, A. Misexpression of Tbx18 in cardiac chambers of fetal mice interferes with chamber-specific developmental programs but does not induce a pacemaker-like gene signature. Journal of Molecular and Cellular Cardiology, 97 pp. 140 - 149, 2016.
  24. Salazar, G., Bellocchi, C., Todoerti, K., Saporiti, F., Piacentini, L., Scorza, R., Colombo, G.I. Gene expression profiling reveals novel protective effects of Aminaphtone on ECV304 endothelial cells. European Journal of Pharmacology, 782 pp. 59 - 69, 2016.
  25. Tu, X., Wang, Y., Zhang, M., Wu, J. Using Formal Concept Analysis to Identify Negative Correlations in Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 13 ( 2 ) , art. no. 7126974 , pp. 380 - 391, 2016.
  26. Silva, L.F., Santos, A.A.S.M.D., Bravo, R.S., Silva, A.C., Muchaluat-Saade, D.C., Conci, A. Hybrid analysis for indicating patients with breast cancer using temperature time serie. Computer Methods and Programs in Biomedicine, 130 pp. 142 - 153, 2016.
  27. Maron-Katz, A., Vaisvaser, S., Lin, T., Hendler, T., Shamir, R. A large-scale perspective on stress-induced alterations in resting-state networks. Scientific Reports, 6 , art. no. 21503, 2016.
  28. Sala, V., Gallo, S., Gatti, S., Medico, E., Vigna, E., Cantarella, D., Fontani, L., Natale, M., Cimino, J., Morello, M., Comoglio, P.M., Ponzetto, A., Crepaldi, T. Cardiac concentric hypertrophy promoted by activated Met receptor is mitigated in vivo by inhibition of Erk1,2 signalling with Pimasertib. Journal of Molecular and Cellular Cardiology, 93 pp. 84 - 97, 2016.
  29. Young, P.R., Eyeghe-Bickong, H.A., du Plessis, K., Alexandersson, E., Jacobson, D.A., Coetzee, Z., Deloire, A., Vivier, M.A. Grapevine plasticity in response to an altered microclimate: Sauvignon Blanc modulates specific metabolites in response to increased berry exposure. Plant Physiology, 170 ( 3 ) pp. 1235 - 1254, 2016.
  30. Palomares-Rius, J.E., Hedley, P., Cock, P.J., Morris, J.A., Jones, J.T., Blok, V.C. Gene expression changes in diapause or quiescent potato cyst nematode, Globodera pallida, eggs after hydration or exposure to tomato root diffusate. PeerJ, ( 2 ) , art. no. 1654, 2016.
  31. Günther, J., Koy, M., Berthold, A., Schuberth, H.-J., Seyfert, H.-M. Comparison of the pathogen species-specific immune response in udder derived cell types and their models. Veterinary Research, 47 ( 1 ) , art. no. 22, 2016.
  32. Friedman-Mazursky, O., Elkon, R., Efrat, S. Redifferentiation of expanded human islet ? cells by inhibition of ARX. Scientific Reports, 6 , art. no. 20698, 2016.
  33. Bastos, L., Ochi, L.S., Protti, F., Subramanian, A., Martins, I.C., Pinheiro, R.G.S. Efficient algorithms for cluster editing. Journal of Combinatorial Optimization, 31 ( 1 ) pp. 347 - 371, 2016.
  34. Sarkar, A., Das, R. Remote sensing image classification using fuzzy- pso hybrid approach. Handbook of Research on Swarm Intelligence in Engineering, pp. 435 - 468, 2015.
  35. Mahata, K., Sarkar, A. Cancer pathway network analysis using cellular automata. Improving Knowledge Discovery through the Integration of Data Mining Techniques, pp. 145 - 159, 2015.
  36. Elkon, R., Loayza-Puch, F., Korkmaz, G., Lopes, R., Van Breugel, P.C., Bleijerveld, O.B., Altelaar, A.F.M., Wolf, E., Lorenzin, F., Eilers, M., Agami, R. Myc coordinates transcription and translation to enhance transformation and suppress invasiveness. EMBO Reports, 16 ( 12 ) pp. 1723 - 1736, 2015.
  37. Pappa, K.I., Polyzos, A., Jacob-Hirsch, J., Amariglio, N., Vlachos, G.D., Loutradis, D., Anagnou, N.P. Profiling of discrete gynecological cancers reveals novel transcriptional modules and common features shared by other cancer types and embryonic stem cells. PLoS ONE, 10 ( 11 ) , art. no. e0142229, 2015.
  38. Moumeni, A., Satoh, K., Venuprasad, R., Serraj, R., Kumar, A., Leung, H., Kikuchi, S. Transcriptional profiling of the leaves of near-isogenic rice lines with contrasting drought tolerance at the reproductive stage in response to water deficit. BMC Genomics, 16 ( 1 ) , art. no. 1110, 2015.
  39. Mesquita, R.D., Vionette-Amaral, R.J., Lowenberger, C., Rivera-Pomar, R., Monteiro, F.A., Minx, P., Spieth, J., Carvalho, A.B., Panzera, F., Lawson, D., Torres, A.Q., Ribeiro, J.M.C., Sorgine, M.H.F., Waterhouse, R.M., Montague, M.J., Abad-Franch, F., Alves-Bezerra, M., Amaral, L.R., Araujo, H.M., Araujo, R.N., Aravind, L., Atella, G.C., Azambuja, P., Berni, M., Bittencourt-Cunha, P.R., Braz, G.R.C., Calderón-Fernández, G., A. Carareto, C.M., Christensen, M.B., Costa, I.R., Costa, S.G., Dansa, M., Daumas-Filho, C.R.O., De-Paula, I.F., Dias, F.A., Dimopoulos, G., Emrich, S.J., Esponda-Behrens, N., Fampa, P., Fernandez-Medina, R.D., Da Fonseca, R.N., Fontenele, M., Fronick, C., Fulton, L.A., Gandara, A.C., Garcia, E.S., Genta, F.A., Giraldo-Calderón, G.I., Gomes, B., Gondim, K.C., Granzotto, A., Guarneri, A.A., Guigó, R., Harry, M., Hughes, D.S.T., Jablonka, W., Jacquin-Joly, E., Juárez, M.P., Koerich, L.B., Latorre-Estivalis, J.M., Lavore, A., Lawrence, G.G., Lazoski, C., Lazzari, C.R., Lopes, R.R., Lorenzo, M.G., Lugon, M.D., Majerowicz, D., Marcet, P.L., Mariotti, M., Masuda, H., Megy, K., Melo, A.C.A., Missirlis, F., Mota, T., Noriega, F.G., Nouzova, M., Nunes, R.D., Oliveira, R.L.L., Oliveira-Silveira, G., Ons, S., Pagola, L., Paiva-Silva, G.O., Pascual, A., Pavan, M.G., Pedrini, N., Peixoto, A.A., Pereira, M.H., Pike, A., Polycarpo, C., Prosdocimi, F., Ribeiro-Rodrigues, R., Robertson, H.M., Salerno, A.P., Salmon, D., Santesmasses, D., Schama, R., Seabra-Junior, E.S., Silva-Cardoso, L., Silva-Neto, M.A.C., Souza-Gomes, M., Sterkel, M., Taracena, M.L., Tojo, M., Tu, Z.J., Tubio, J.M.C., Ursic-Bedoya, R., Venancio, T.M., Walter-Nuno, A.B., Wilson, D., Warren, W.C., Wilson, R.K., Huebner, E., Dotson, E.M., Oliveira, P.L. Genome of Rhodnius prolixus, an insect vector of Chagas disease, reveals unique adaptations to hematophagy and parasite infection. Proceedings of the National Academy of Sciences of the United States of America, 112 ( 48 ) pp. 14936 - 14941, 2015.
  40. Ray, S., Chakraborty, S., Mukhopadhyay, A. DCoSpect: A novel differentially coexpressed gene module detection algorithm using spectral clustering. Advances in Intelligent Systems and Computing, 404 pp. 69 - 77, 2015.
  41. Chakroun, I., Yang, D., Girgis, J., Gunasekharan, A., Phenix, H., Kærn, M., Blais, A. Genome-wide association between Six4, MyoD, and the histone demethylase Utx during myogenesis. FASEB Journal, 29 ( 11 ) pp. 4738 - 4755, 2015.
  42. Singh, S.K., Wu, Y., Ghosh, J.S., Pattanaik, S., Fisher, C., Wang, Y., Lawson, D., Yuan, L. RNA-sequencing Reveals Global Transcriptomic Changes in Nicotiana tabacum Responding to Topping and Treatment of Axillary-shoot Control Chemicals. RScientific Reports, 5 , art. no. 18148, 2015.
  43. Satoh, K., Saji, S., Ito, S., Shimizu, H., Saji, H., Kikuchi, S. Gene response in rice plants treated with continuous fog influenced by pH, was similar to that treated with biotic stress. Rice, 7 ( 1 ) , art. no. 1011 p. 2015.
  44. Yao, X., Yan, J., Kim, S., Nho, K., Risacher, S.L., Inlow, M., Moore, J.H., Saykin, A.J., Shen, L., The Alzheimer's Disease Neuroimaging Initiative. Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9250 pp. 115 - 124, 2015.
  45. Asano, T., Tamura, Y., Yasui, H., Satoh, K., Hattori, M., Yasui, H., Kikuchi, S. The rice GRH2 and GRH4 activate various defense responses to the green rice leafhopper and confer strong insect resistance. Plant Biotechnology, 32 ( 3 ) pp. 215 - 224, 2015.
  46. Castiglioni, L., Colazzo, F., Fontana, L., Colombo, G.I., Piacentini, L., Bono, E., Milano, G., Paleari, S., Palermo, A., Guerrini, U., Tremoli, E., Sironi, L. Evaluation of left ventricle function by regional fractional area change (RFAC) in a mouse model of myocardial infarction secondary to valsartan treatment. PLoS ONE, 10 ( 8 ) , art. no. e0135778, 2015.
  47. Nuruzzaman, M., Sharoni, A.M., Satoh, K., Karim, M.R., Harikrishna, J.A., Shimizu, T., Sasaya, T., Omura, T., Haque, M.A., Hasan, S.M.Z., Ahmad, A., Kikuchi, S. NAC transcription factor family genes are differentially expressed in rice during infections with rice dwarf virus, rice black-streaked dwarf virus, rice grassy stunt virus, rice ragged stunt virus, and rice transitory yellowing virus. Frontiers in Plant Science, 6 ( September ) , art. no. 67615 p, 2015.
  48. Krueger, R., Heimerl, F., Han, Q., Kurzhals, K., Koch, S., Ertl, T. Visual analysis of visitor behavior for indoor event management. Proceedings of the Annual Hawaii International Conference on System Sciences, 2015-March , art. no. 7069946 , pp. 1148 - 1157, 2015.
  49. Shichino, S., Abe, J., Ueha, S., Otsuji, M., Tsukui, T., Kosugi-Kanaya, M., Shand, F.H.W., Hashimoto, S.-I., Suzuki, H.I., Morikawa, T., Inagaki, Y., Matsushima, K. Reduced supply of monocyte-derived macrophages leads to a transition from nodular to diffuse lesions and tissue cell activation in silica-induced pulmonary fibrosis in mice. American Journal of Pathology, 185 ( 11 ) pp. 2923 - 2938, 2015.
  50. Hong, S.-E., Nho, K.J., Song, H.K., Kim, D.H. Deep sequencing-generated modules demonstrate coherent expression patterns for various cardiac diseases. Gene, 574 ( 1 ) pp. 53 - 60, 2015.
  51. Elkon, R., Milon, B., Morrison, L., Shah, M., Vijayakumar, S., Racherla, M., Leitch, C.C., Silipino, L., Hadi, S., Weiss-Gayet, M., Barras, E., Schmid, C.D., Ait-Lounis, A., Barnes, A., Song, Y., Eisenman, D.J., Eliyahu, E., Frolenkov, G.I., Strome, S.E., Durand, B., Zaghloul, N.A., Jones, S.M., Reith, W., Hertzano, R. RFX transcription factors are essential for hearing in mice. Nature Communications, 6 , art. no. 8549, 2015.
  52. Godoy, P., Schmidt-Heck, W., Natarajan, K., Lucendo-Villarin, B., Szkolnicka, D., Asplund, A., Björquist, P., Widera, A., Stöber, R., Campos, G., Hammad, S., Sachinidis, A., Chaudhari, U., Damm, G., Weiss, T.S., Nüssler, A., Synnergren, J., Edlund, K., Küppers-Munther, B., Hay, D.C., Hengstler, J.G. Gene networks and transcription factor motifs defining the differentiation of stem cells into hepatocyte-like cells. Journal of Hepatology, 63 ( 4 ) pp. 934 - 942, 2015.
  53. Li, Q., Yu, H., Cao, P.B., Fawal, N., Mathé, C., Azar, S., Cassan-Wang, H., Myburg, A.A., Grima-Pettenati, J., Marque, C., Teulières, C., Dunand, C. Explosive tandem and segmental duplications of multigenic families in Eucalyptus grandis. Genome Biology and Evolution, 7 ( 4 ) pp. 1068 - 1081, 2015.
  54. Amar, D., Hait, T., Izraeli, S., Shamir, R. Integrated analysis of numerous heterogeneous gene expression profiles for detecting robust disease-specific biomarkers and proposing drug targetse. Nucleic Acids Research, 43 ( 16 ) pp. 7779 - 7789, 2015.
  55. Van Bockhaven, J., Steppe, K., Bauweraerts, I., Kikuchi, S., Asano, T., Höfte, M., De Vleesschauwer, D. Primary metabolism plays a central role in moulding silicon-inducible brown spot resistance in rice. Molecular Plant Pathology, 16 ( 8 ) pp. 811 - 824, 2015.
  56. Shi, T., Dimitrov, I., Zhang, Y., Tax, F.E., Yi, J., Gou, X., Li, J. Accelerated rates of protein evolution in barley grain and pistil biased genes might be legacy of domestication. Plant Molecular Biology, 89 ( 3 ) pp. 253 - 261 , 2015.
  57. Amar, D., Frades, I., Diels, T., Zaltzman, D., Ghatan, N., Hedley, P.E., Alexandersson, E., Tzfadia, O., Shamir, R. The MORPH-R web server and software tool for predicting missing genes in biological pathways. EPhysiologia Plantarum, 155 ( 1 ) pp. 12 - 20, 2015.
  58. Marchetti, Y., Zhou, Q. Solution path clustering with adaptive concave penalty. Electronic Journal of Statistics, 8 pp. 1569 - 1603, 2015.
  59. Meisner, M., Reif, D.M. Computational Methods Used in Systems Biology. Systems Biology in Toxicology and Environmental Health, pp. 85 - 115, 2015.
  60. Wang, Y., Drader, T., Tiwari, V.K., Dong, L., Kumar, A., Huo, N., Ghavami, F., Iqbal, M.J., Lazo, G.R., Leonard, J., Gill, B.S., Kianian, S.F., Luo, M.-C., Gu, Y.Q. Development of a D genome specific marker resource for diploid and hexaploid wheat. BMC Genomics, 16 ( 1 ) , art. no. 646, 2015.
  61. Bauer, I., Günther, J., Wheeler, T.T., Engelmann, S., Seyfert, H.-M. AExtracellular milieu grossly alters pathogen-specific immune response of mammary epithelial cells. BMC Veterinary Research, 11 ( 1 ) , art. no. 172, 2015.
  62. Amar, D., Yekutieli, D., Maron-Katz, A., Hendler, T., Shamir, R. A hierarchical Bayesian model for flexible module discovery in three-way time-series data. Bioinformatics, 31 ( 12 ) pp. i17 - i26, 2015.
  63. Kaspric, N., Picard, B., Reichstadt, M., Tournayre, J., Bonnet, M. ProteINSIDE to easily investigate proteomics data from ruminants: Application to mine proteome of adipose and muscle tissues in bovine foetuses. PLoS ONE, 10 ( 5 ) , art. no. e0128086, 2015.
  64. Sarkar, A., Maulik, U. Rough based symmetrical clustering for gene expression profile analysis. IEEE Transactions on Nanobioscience, 14 ( 4 ) , art. no. 7097734 , pp. 360 - 367, 2015.
  65. Luo, J., Liang, X. Discovering co-regulated modules based on protein interaction and transcriptional regulatory networks. Journal of Computational Information Systems, 11 ( 8 ) pp. 3041 - 3049, 2015.
  66. Soler, M., Camargo, E.L.O., Carocha, V., Cassan-Wang, H., San Clemente, H., Savelli, B., Hefer, C.A., Paiva, J.A.P., Myburg, A.A., Grima-Pettenati, J. The Eucalyptus grandis R2R3-MYB transcription factor family: Evidence for woody growth-related evolution and function. New Phytologist, 206 ( 4 ) pp. 1364 - 1377.
  67. Carocha, V., Soler, M., Hefer, C., Cassan-Wang, H., Fevereiro, P., Myburg, A.A., Paiva, J.A.P., Grima-Pettenati, J. Genome-wide analysis of the lignin toolbox of Eucalyptus grandis. New Phytologist, 206 ( 4 ) pp. 1297 - 1313.
  68. Ransbotyn, V., Yeger-Lotem, E., Basha, O., Acuna, T., Verduyn, C., Gordon, M., Chalifa-Caspi, V., Hannah, M.A., Barak, S. A combination of gene expression ranking and co-expression network analysis increases discovery rate in large-scale mutant screens for novel Arabidopsis thaliana abiotic stress genes. Plant Biotechnology Journal, 13 ( 4 ) pp. 501 - 513, 2015.
  69. Attar-Schneider, O., Pasmanik-Chor, M., Tartakover-Matalon, S., Drucker, L., Lishner, M. eIF4E and eIF4GI have distinct and differential imprints on multiple myeloma's proteome and signaling. Oncotarget, 6 ( 6 ) pp. 4315 - 4329, 2015.
  70. Soldatos, T.G., Perdigão, N., Brown, N.P., Sabir, K.S., O'Donoghue, S.I. How to learn about gene function: Text-mining or ontologies?. Methods, 74 pp. 3 - 15, 2015.
  71. Carvalho-Netto, O.V., Carazzolle, M.F., Mofatto, L.S., Teixeira, P.J.P.L., Noronha, M.F., Calderón, L.A.L., Mieczkowski, P.A., Argueso, J.L., Pereira, G.A.G. Saccharomyces cerevisiae transcriptional reprograming due to bacterial contamination during industrial scale bioethanol production. Microbial Cell Factories, 14 ( 1 ), art. no. 13, 2015.
  72. Arribas, A.J., Rinaldi, A., Mensah, A.A., Kwee, I., Cascione, L., Robles, E.F., Martinez-Climent, J.A., Oscier, D., Arcaini, L., Baldini, L., Marasca, R., Thieblemont, C., Briere, J., Forconi, F., Zamò, A., Bonifacio, M., Mollejo, M., Facchetti, F., Dirnhofer, S., Ponzoni, M., Bhagat, G., Piris, M.A., Gaidano, G., Zucca, E., Rossi, D., Bertoni, F. DNA methylation profiling identifies two splenic marginal zone lymphoma subgroups with different clinical and genetic features. Blood, 125 ( 12 ) pp. 1922 - 1931, 2015.
  73. Jin, D., Lee, H. A Computational Approach to Identifying Gene-microRNA Modules in Cancer. PLoS Computational Biology, 11 ( 1 ) 33 p., 2015.
  74. Rahman, T.A., Bhattacharyya, D.K. TDAC: Co-expressed gene pattern finding using attribute clustering. International Journal of Bioinformatics Research and Applications, 11 ( 1 ) pp. 45 - 71 , 2015.
  75. Smith, J., Sadeyen, J.-R., Butter, C., Kaiser, P., Burt, D.W. Analysis of the early immune response to infection by infectious bursal disease virus in chickens differing in their resistance to the disease. Journal of Virology, 89 ( 5 ) pp. 2469 - 2482, 2015.
  76. Sarkar, A., Maulik, U. Gene microarray data analysis using parallel point-symmetry-based clustering. International Journal of Data Mining and Bioinformatics, 11 ( 3 ) pp. 277 - 300, 2015.
  77. Arefin, A.S., Riveros, C., Berretta, R., Moscato, P. The MST-kNN with paracliques. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8955 pp. 373 - 386, 2015.
  78. Uziel, O., Yosef, N., Sharan, R., Ruppin, E., Kupiec, M., Kushnir, M., Beery, E., Cohen-Diker, T., Nordenberg, J., Lahav, M. The effects of telomere shortening on cancer cells: A network model of proteomic and microRNA analysis. Genomics, 105 ( 1 ) pp. 5 - 16, 2015.
  79. Prabavathy, S.K., Sumathi, P. Dictionary and gene ontology based similarity for named entity relationship protein-protein interaction prediction from biotext corpus. Research Journal of Applied Sciences, Engineering and Technology, 8 ( 22 ) pp. 2282 - 2289, 2014.
  80. Civicioglu, P., Atasever, U.H., Ozkan, C., Besdok, E., Karkinli, A.E., Kesikoglu, A. Performance comparison of evolutionary algorithms for image clustering. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40 ( 7 ) pp. 71 - 74, 2014.
  81. Wang, Y.X.R., Huang, H. Review on statistical methods for gene network reconstruction using expression data. Journal of Theoretical Biology, 362 pp. 53 - 61 , 2014.
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