 Connection
Mary Yang to Computational Biology
This is a "connection" page, showing publications Mary Yang has written about Computational Biology.
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Connection Strength |
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2.719 |
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Zhang X, Wang T, Luo H, Yang JY, Deng Y, Tang J, Yang MQ. 3D protein structure prediction with genetic tabu search algorithm. BMC Syst Biol. 2010 May 28; 4 Suppl 1:S6.
Score: 0.320
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Yang MQ, Niemierko A, Yang JY, Jin Y. Promoting inter/multidisciplinary education and research in bioinformatics, systems biology and intelligent computing. Int J Comput Biol Drug Des. 2009; 2(3):207-20.
Score: 0.310
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Yang MQ, Yang JY. Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysis. Int J Comput Biol Drug Des. 2009; 2(2):204-6.
Score: 0.306
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Yang MQ, Athey BD, Arabnia HR, Sung AH, Liu Q, Yang JY, Mao J, Deng Y. High-throughput next-generation sequencing technologies foster new cutting-edge computing techniques in bioinformatics. BMC Genomics. 2009 Jul 07; 10 Suppl 1:I1.
Score: 0.301
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Yang JY, Yang MQ. Predicting protein disorder by analyzing amino acid sequence. BMC Genomics. 2008 Sep 16; 9 Suppl 2:S8.
Score: 0.285
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Yang MQ, Elnitski LL. Prediction-based approaches to characterize bidirectional promoters in the mammalian genome. BMC Genomics. 2008; 9 Suppl 1:S2.
Score: 0.271
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He G, Liang Y, Chen Y, Yang W, Liu JS, Yang MQ, Guan R. A hotspots analysis-relation discovery representation model for revealing diabetes mellitus and obesity. BMC Syst Biol. 2018 12 14; 12(Suppl 7):116.
Score: 0.145
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Guan R, Wang X, Yang MQ, Zhang Y, Zhou F, Yang C, Liang Y. Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways. Sci Rep. 2018 01 10; 8(1):267.
Score: 0.136
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Wang L, Yang MQ, Yang JY. Prediction of DNA-binding residues from protein sequence information using random forests. BMC Genomics. 2009 Jul 07; 10 Suppl 1:S1.
Score: 0.075
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Lichtenberg J, Jacox E, Welch JD, Kurz K, Liang X, Yang MQ, Drews F, Ecker K, Lee SS, Elnitski L, Welch LR. Word-based characterization of promoters involved in human DNA repair pathways. BMC Genomics. 2009 Jul 07; 10 Suppl 1:S18.
Score: 0.075
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Yang JY, Yang MQ, Arabnia HR, Deng Y. Genomics, molecular imaging, bioinformatics, and bio-nano-info integration are synergistic components of translational medicine and personalized healthcare research. BMC Genomics. 2008 Sep 16; 9 Suppl 2:I1.
Score: 0.071
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Pirooznia M, Gong P, Yang JY, Yang MQ, Perkins EJ, Deng Y. ILOOP--a web application for two-channel microarray interwoven loop design. BMC Genomics. 2008 Sep 16; 9 Suppl 2:S11.
Score: 0.071
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Yang JY, Yang MQ, Zhu MM, Arabnia HR, Deng Y. Promoting synergistic research and education in genomics and bioinformatics. BMC Genomics. 2008; 9 Suppl 1:I1.
Score: 0.068
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Yang JY, Li GZ, Meng HH, Yang MQ, Deng Y. Improving prediction accuracy of tumor classification by reusing genes discarded during gene selection. BMC Genomics. 2008; 9 Suppl 1:S3.
Score: 0.068
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Yang JY, Yang MQ, Dunker AK, Deng Y, Huang X. Investigation of transmembrane proteins using a computational approach. BMC Genomics. 2008; 9 Suppl 1:S7.
Score: 0.068
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Li GZ, Yang JY, Lu WC, Li D, Yang MQ. Improving prediction accuracy of drug activities by utilising unlabelled instances with feature selection. Int J Comput Biol Drug Des. 2008; 1(1):1-13.
Score: 0.068
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Deng Y, Ai J, Guan X, Wang Z, Yan B, Zhang D, Liu C, Wilbanks MS, Escalon BL, Meyers SA, Yang MQ, Perkins EJ. MicroRNA and messenger RNA profiling reveals new biomarkers and mechanisms for RDX induced neurotoxicity. BMC Genomics. 2014; 15 Suppl 11:S1.
Score: 0.027
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Liu Q, Sung AH, Qiao M, Chen Z, Yang JY, Yang MQ, Huang X, Deng Y. Comparison of feature selection and classification for MALDI-MS data. BMC Genomics. 2009 Jul 07; 10 Suppl 1:S3.
Score: 0.019
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Li GZ, Bu HL, Yang MQ, Zeng XQ, Yang JY. Selecting subsets of newly extracted features from PCA and PLS in microarray data analysis. BMC Genomics. 2008 Sep 16; 9 Suppl 2:S24.
Score: 0.018
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Habib T, Zhang C, Yang JY, Yang MQ, Deng Y. Supervised learning method for the prediction of subcellular localization of proteins using amino acid and amino acid pair composition. BMC Genomics. 2008; 9 Suppl 1:S16.
Score: 0.017
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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