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Connection

Xiang Zhou to Gene Expression Profiling

This is a "connection" page, showing publications Xiang Zhou has written about Gene Expression Profiling.
Connection Strength

2.773
  1. High-resolution functional annotation of human transcriptome: predicting isoform functions by a novel multiple instance-based label propagation method. Nucleic Acids Res. 2014 Apr; 42(6):e39.
    View in: PubMed
    Score: 0.294
  2. Bayesian approach to transforming public gene expression repositories into disease diagnosis databases. Proc Natl Acad Sci U S A. 2010 Apr 13; 107(15):6823-8.
    View in: PubMed
    Score: 0.227
  3. Joint genome-wide profiling of miRNA and mRNA expression in Alzheimer's disease cortex reveals altered miRNA regulation. PLoS One. 2010 Feb 01; 5(2):e8898.
    View in: PubMed
    Score: 0.225
  4. An integrative network approach to map the transcriptome to the phenome. J Comput Biol. 2009 Aug; 16(8):1023-34.
    View in: PubMed
    Score: 0.217
  5. Automated multidimensional phenotypic profiling using large public microarray repositories. Proc Natl Acad Sci U S A. 2009 Jul 28; 106(30):12323-8.
    View in: PubMed
    Score: 0.216
  6. An integrative approach to characterize disease-specific pathways and their coordination: a case study in cancer. BMC Genomics. 2008; 9 Suppl 1:S12.
    View in: PubMed
    Score: 0.194
  7. Systematic discovery of functional modules and context-specific functional annotation of human genome. Bioinformatics. 2007 Jul 01; 23(13):i222-9.
    View in: PubMed
    Score: 0.188
  8. Gene Aging Nexus: a web database and data mining platform for microarray data on aging. Nucleic Acids Res. 2007 Jan; 35(Database issue):D756-9.
    View in: PubMed
    Score: 0.179
  9. Integrative missing value estimation for microarray data. BMC Bioinformatics. 2006 Oct 12; 7:449.
    View in: PubMed
    Score: 0.179
  10. Functional annotation and network reconstruction through cross-platform integration of microarray data. Nat Biotechnol. 2005 Feb; 23(2):238-43.
    View in: PubMed
    Score: 0.158
  11. Cross-species comparison of genome-wide expression patterns. Genome Biol. 2004; 5(7):232.
    View in: PubMed
    Score: 0.152
  12. Cancer RNA-Seq Nexus: a database of phenotype-specific transcriptome profiling in cancer cells. Nucleic Acids Res. 2016 Jan 04; 44(D1):D944-51.
    View in: PubMed
    Score: 0.084
  13. Matrix factorization methods for integrative cancer genomics. Methods Mol Biol. 2014; 1176:229-42.
    View in: PubMed
    Score: 0.074
  14. A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules. Bioinformatics. 2011 Jul 01; 27(13):i401-9.
    View in: PubMed
    Score: 0.062
  15. Unraveling complex temporal associations in cellular systems across multiple time-series microarray datasets. J Biomed Inform. 2010 Aug; 43(4):550-9.
    View in: PubMed
    Score: 0.056
  16. An integrative modular approach to systematically predict gene-phenotype associations. BMC Bioinformatics. 2010 Jan 18; 11 Suppl 1:S62.
    View in: PubMed
    Score: 0.056
  17. Integrative disease classification based on cross-platform microarray data. BMC Bioinformatics. 2009 Jan 30; 10 Suppl 1:S25.
    View in: PubMed
    Score: 0.052
  18. Identifying dynamic network modules with temporal and spatial constraints. Pac Symp Biocomput. 2009; 203-14.
    View in: PubMed
    Score: 0.052
  19. Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. Bioinformatics. 2006 Jul 01; 22(13):1665-7.
    View in: PubMed
    Score: 0.043
  20. CMEP: a database for circulating microRNA expression profiling. Bioinformatics. 2019 09 01; 35(17):3127-3132.
    View in: PubMed
    Score: 0.027
  21. A panel of induced pluripotent stem cells from chimpanzees: a resource for comparative functional genomics. Elife. 2015 Jun 23; 4:e07103.
    View in: PubMed
    Score: 0.020
  22. The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes. Hum Mol Genet. 2012 May 01; 21(9):2111-23.
    View in: PubMed
    Score: 0.016
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.