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Jiao Li, Si Zheng, Hongyu Kang, Zhen Hou and Qing Qian

or standardized citation regulations. The Cancer Genome Atlas (TCGA) project was launched in 2005 and funded by the US government, and it aims to catalogue and discover major cancer-causing genomic alterations to help improve the clinical outcome of cancers ( Tomczak, Czerwinska, & Wiznerowicz, 2015 ). A major goal of the project was to provide publicly available cancer genomic datasets ( https://tcga-data.nci.nih.gov/tcga/ ) that include over 30 human cancer types (e.g. brain cancer, lung cancer, breast cancer, etc.) with multiple genomic profiles based on

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Yuqing Mao and Zhiyong Lu

. Citation-based Usage-based Content-similarity-based PNAS PNAS PLOS Genetics Cell JBC PNAS Nature Nature MCB MCB Science PLOS One Science MCB Genome Research TAG Cell Nature Evolution Development Eukaryotic Cell EMBO Journal Genes & Development Evolution Genes & Development NAR MBoC NAR EMBO Journal Molecular Ecology JBC Current Biology: CB JBC MBE MBoC Science Journal of Bacteriology Developmental Biology Developmental Biology

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Zhesi Shen, Fuyou Chen, Liying Yang and Jinshan Wu

concentrated on computational/mathematical physics: J. Stat. Mech. Theory Exp , Phys. Rev. E and Eur. Phys. J. B clearly have this character. Similarly, when “Woman = Genome Biol ”, the resulted journals mainly focus on bioinformatics, the computational part of genome study; and when “Woman = J. Neurosci ”, the most similar journals are computational neuroscience journals. In all the above cases, the mathematical and computational character of the “King = PLoS Comput. Biol ” is more or less kept in the Queen journals. This also partially validates that the trained

Open access

Neil R. Smalheiser

; when his work failed to get recognized, he chose to get his proof out in an obscure journal called the Far East Journal of Theoretical Statistics . He might as well have put it in a bottle and thrown it in the ocean! Some of my own informatics discoveries have been closely related to undiscovered public knowledge. For example, my group discovered that many mammalian microRNAs are derived from genomic repeat elements in the genome ( Smalheiser & Torvik, 2005 ). Although we came to this realization through computational studies ( Smalheiser & Torvik, 2004 ), in fact

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Haiyun Xu, Chao Wang, Kun Dong, Rui Luo, Zenghui Yue and Hongshen Pang

biology of Chinese Academy of Sciences BJ 13 17 Merial Co., Ltd. JX 13 18 Pulaike Biological Engineering Co., Ltd. HN 13 19 Shanghai Human Genome Research Center SH 13 20 South China Agricultural University GD 13 21 Wuhan University HB 12 22 Institute of Microbiology, Chinese Academy of Sciences BJ 11 23 China Agricultural University BJ 11 24 Xiamen University FJ 11 25 Zhejiang University ZJ 11 26 Institute of Medical Biotechnology of Chinese Academy

Open access

Chaomei Chen

Visualizing and mapping the intellectual structure of information retrieval Information Processing & Management 48 1 120 135 Shannon, P., Markiel, A., Ozier, O., Baliga, N.S., Wang, J.T., Ramage, D., . . . Ideker, T. (2003). Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Research, 13(11), 2498–2504. 10.1101/gr.1239303 Shannon P. Markiel A. Ozier O. Baliga N.S. Wang J.T. Ramage D. Ideker T. 2003 Cytoscape: A software environment for integrated models of biomolecular interaction networks Genome Research

Open access

Jie Wang, Chengzhi Zhang, Mengying Zhang and Sanhong Deng

results in higher ranking. Table 2 Top 20 Phrases According to High Frequency. Phrase (Frequency) Phrase (Frequency) cell line (37507) reactive oxygen species (5160) gene expression (37001) central nervous system (4418) amino acid (35165) smooth muscle cell (3439) transcription factor (25626) protein protein interaction (3286) cancer cell (25605) single nucleotide polymorphism (2535) stem cell (22567) tumor necrosis factor (2482) growth factor (17531) genome wide association (2386

Open access

Oleg Uzhga-Rebrov and Galina Kuleshova

Problems of Fuzzy Clustering of Microarray Data

Microarray technology has been the leading research direction in medicine, pharmacology, genome studies and other related areas over the past years. This technology enables researches to simultaneously study activity expression of tens of thousands of genes. After the experimental data have been processed, arrays of numerical values of gene expressions are obtained that are the basis for receiving relevant information and new knowledge. This paper briefly overviews the basics of microarray technology as well as task classes that could be solved using microarray data. The existing approaches to clustering gene expression sets are discussed. It is shown that the fuzzy c-means clustering method appears the most appropriate for that purpose. Due to that, the problem of choosing an optimal size of fuzziness parameter arises. Three widespread techniques for solving the problem are considered and their comparative analysis is provided.

Open access

Agris Nikitenko, Aleksis Liekna, Martins Ekmanis, Guntis Kulikovskis and Ilze Andersone

-Gaussian-Merging Approach towards Genome Segmentation for Copy Number Analysis, World Academy of Science, Engineering and Technology, 2009, 54p. [7] A.W.Stroupe, M.C.Martin, T.Balch Distributed Sensor Fusion for Object Position Estimation by Multi-Robot Systems, Proceedings of ICRA IEEE vol.2., 2001, pp 1092 - 1098 [8] S.Tennina, M. Valletta, F. Santucci, M.D.Renzo, F. Graziosi, R.Minutolo, Entity Localization and Tracking: A Sensor Fusion-Based Mechanism in WSNs, Proceedings of IEEE 13th International Conference on HPCC, 2011, pp 983 - 988

Open access

Arnis Kirshners and Arkady Borisov

-168. S. Ignacimuthu , Basic Bioinformatics. United Kingdom: Alpha Science International Ltd., 2004, 206 p. M. F. Ramoni, P. Sebastiani, I. S. Kohane , Cluster analysis of gene expression dynamics. Proc. National Acad. Sci. USA, Vol.99, N14, 2002, pp. 9121-9126. P. N. Tan, M. Steinbach, V. Kumar , Introduction to Data Mining. Boston: Addison-Wesley, 2006, 769 p. M. B. Eisen, P. T. Spellman, P. O. Brown, D. Botstein , Cluster analysis and display of genome-wide expression patterns. Proc