Connection

ZHANDONG LIU to Gene Expression Profiling

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

2.632
  1. Coexpression enrichment analysis at the single-cell level reveals convergent defects in neural progenitor cells and their cell-type transitions in neurodevelopmental disorders. Genome Res. 2020 06; 30(6):835-848.
    View in: PubMed
    Score: 0.434
  2. Data Analysis Pipeline for RNA-seq Experiments: From Differential Expression to Cryptic Splicing. Curr Protoc Bioinformatics. 2017 09 13; 59:11.15.1-11.15.21.
    View in: PubMed
    Score: 0.358
  3. Comprehensive evaluation of RNA-seq quantification methods for linearity. BMC Bioinformatics. 2017 Mar 22; 18(Suppl 4):117.
    View in: PubMed
    Score: 0.347
  4. Digital sorting of complex tissues for cell type-specific gene expression profiles. BMC Bioinformatics. 2013 Mar 07; 14:89.
    View in: PubMed
    Score: 0.262
  5. Gene expression deconvolution in linear space. Nat Methods. 2011 Dec 28; 9(1):8-9; author reply 9.
    View in: PubMed
    Score: 0.241
  6. Singular value decomposition-based regression identifies activation of endogenous signaling pathways in vivo. Genome Biol. 2008; 9(12):R180.
    View in: PubMed
    Score: 0.196
  7. CoRegNet: unraveling gene co-regulation networks from public RNA-Seq repositories using a beta-binomial statistical model. Brief Bioinform. 2023 11 22; 25(1).
    View in: PubMed
    Score: 0.138
  8. Unravelling spatial gene associations with SEAGAL: a Python package for spatial transcriptomics data analysis and visualization. Bioinformatics. 2023 07 01; 39(7).
    View in: PubMed
    Score: 0.134
  9. A benchmark for RNA-seq deconvolution analysis under dynamic testing environments. Genome Biol. 2021 04 12; 22(1):102.
    View in: PubMed
    Score: 0.115
  10. Apparent bias toward long gene misregulation in MeCP2 syndromes disappears after controlling for baseline variations. Nat Commun. 2018 08 13; 9(1):3225.
    View in: PubMed
    Score: 0.095
  11. Forniceal deep brain stimulation induces gene expression and splicing changes that promote neurogenesis and plasticity. Elife. 2018 03 23; 7.
    View in: PubMed
    Score: 0.093
  12. A Comprehensive and Integrative Approach to MeCP2 Disease Transcriptomics. Int J Mol Sci. 2023 Mar 07; 24(6).
    View in: PubMed
    Score: 0.033
  13. The bone microenvironment invigorates metastatic seeds for further dissemination. Cell. 2021 04 29; 184(9):2471-2486.e20.
    View in: PubMed
    Score: 0.029
  14. Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models. Cell Rep. 2020 07 14; 32(2):107908.
    View in: PubMed
    Score: 0.027
  15. Molecular profiling predicts meningioma recurrence and reveals loss of DREAM complex repression in aggressive tumors. Proc Natl Acad Sci U S A. 2019 10 22; 116(43):21715-21726.
    View in: PubMed
    Score: 0.026
  16. High-Throughput Functional Analysis Distinguishes Pathogenic, Nonpathogenic, and Compensatory Transcriptional Changes in Neurodegeneration. Cell Syst. 2018 07 25; 7(1):28-40.e4.
    View in: PubMed
    Score: 0.024
  17. A Role for Progesterone-Regulated sFRP4 Expression in Uterine Leiomyomas. J Clin Endocrinol Metab. 2017 09 01; 102(9):3316-3326.
    View in: PubMed
    Score: 0.022
  18. Disease-related gene module detection based on a multi-label propagation clustering algorithm. PLoS One. 2017; 12(5):e0178006.
    View in: PubMed
    Score: 0.022
  19. Transcriptomic Analysis of Mouse Cochlear Supporting Cell Maturation Reveals Large-Scale Changes in Notch Responsiveness Prior to the Onset of Hearing. PLoS One. 2016; 11(12):e0167286.
    View in: PubMed
    Score: 0.021
  20. Expression and functional pathway analysis of nuclear receptor NR2F2 in ovarian cancer. J Clin Endocrinol Metab. 2013 Jul; 98(7):E1152-62.
    View in: PubMed
    Score: 0.017
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.