Connection

BO PENG to Humans

This is a "connection" page, showing publications BO PENG has written about Humans.
Connection Strength

0.204
  1. Nimbolide Induces Cell Apoptosis via Mediating ER Stress-Regulated Apoptotic Signaling in Human Oral Squamous Cell Carcinoma. Environ Toxicol. 2025 Feb; 40(2):347-356.
    View in: PubMed
    Score: 0.026
  2. AGA induces sub-G1 cell cycle arrest and apoptosis in human colon cancer cells through p53-independent/p53-dependent pathway. BMC Cancer. 2023 Jan 02; 23(1):1.
    View in: PubMed
    Score: 0.023
  3. Reproducible simulations of realistic samples for next-generation sequencing studies using Variant Simulation Tools. Genet Epidemiol. 2015 Jan; 39(1):45-52.
    View in: PubMed
    Score: 0.013
  4. Comprehensive molecular characterization of urothelial bladder carcinoma. Nature. 2014 Mar 20; 507(7492):315-22.
    View in: PubMed
    Score: 0.012
  5. Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators. Bioinformatics. 2013 Apr 15; 29(8):1101-2.
    View in: PubMed
    Score: 0.012
  6. Integrated annotation and analysis of genetic variants from next-generation sequencing studies with variant tools. Bioinformatics. 2012 Feb 01; 28(3):421-2.
    View in: PubMed
    Score: 0.011
  7. Simulating sequences of the human genome with rare variants. Hum Hered. 2010; 70(4):287-91.
    View in: PubMed
    Score: 0.010
  8. Forward-time simulation of realistic samples for genome-wide association studies. BMC Bioinformatics. 2010 Sep 01; 11:442.
    View in: PubMed
    Score: 0.010
  9. Simulations provide support for the common disease-common variant hypothesis. Genetics. 2007 Feb; 175(2):763-76.
    View in: PubMed
    Score: 0.008
  10. simuPOP: a forward-time population genetics simulation environment. Bioinformatics. 2005 Sep 15; 21(18):3686-7.
    View in: PubMed
    Score: 0.007
  11. Anti-Colorectal Cancer Effects of Fucoidan Complex-Based Functional Beverage Through Retarding Proliferation, Cell Cycle and Epithelial-Mesenchymal Transition Signaling Pathways. Integr Cancer Ther. 2023 Jan-Dec; 22:15347354231213613.
    View in: PubMed
    Score: 0.006
  12. Hybrid oncocytic/chromophobe renal tumors are molecularly distinct from oncocytoma and chromophobe renal cell carcinoma. Mod Pathol. 2019 11; 32(11):1698-1707.
    View in: PubMed
    Score: 0.005
  13. Distinct Biological Types of Ocular Adnexal Sebaceous Carcinoma: HPV-Driven and Virus-Negative Tumors Arise through Nonoverlapping Molecular-Genetic Alterations. Clin Cancer Res. 2019 02 15; 25(4):1280-1290.
    View in: PubMed
    Score: 0.004
  14. Recurrent aphthous stomatitis may be a precursor or risk factor for specific cancers: A case-control frequency-matched study. Cancer Med. 2018 08; 7(8):4104-4114.
    View in: PubMed
    Score: 0.004
  15. Stapled peptide inhibitors of RAB25 target context-specific phenotypes in cancer. Nat Commun. 2017 09 22; 8(1):660.
    View in: PubMed
    Score: 0.004
  16. Sarcomatoid Renal Cell Carcinoma Has a Distinct Molecular Pathogenesis, Driver Mutation Profile, and Transcriptional Landscape. Clin Cancer Res. 2017 Nov 01; 23(21):6686-6696.
    View in: PubMed
    Score: 0.004
  17. Comprehensive Genomic Characterization of Upper Tract Urothelial Carcinoma. Eur Urol. 2017 10; 72(4):641-649.
    View in: PubMed
    Score: 0.004
  18. Empirical estimation of sequencing error rates using smoothing splines. BMC Bioinformatics. 2016 Apr 22; 17:177.
    View in: PubMed
    Score: 0.004
  19. WGSA: an annotation pipeline for human genome sequencing studies. J Med Genet. 2016 Feb; 53(2):111-2.
    View in: PubMed
    Score: 0.003
  20. Genome-wide association study identifies HLA 8.1 ancestral haplotype alleles as major genetic risk factors for myositis phenotypes. Genes Immun. 2015 Oct; 16(7):470-80.
    View in: PubMed
    Score: 0.003
  21. Genetic simulation tools for post-genome wide association studies of complex diseases. Genet Epidemiol. 2015 Jan; 39(1):11-19.
    View in: PubMed
    Score: 0.003
  22. SNP characteristics predict replication success in association studies. Hum Genet. 2014 Dec; 133(12):1477-86.
    View in: PubMed
    Score: 0.003
  23. Variant association tools for quality control and analysis of large-scale sequence and genotyping array data. Am J Hum Genet. 2014 May 01; 94(5):770-83.
    View in: PubMed
    Score: 0.003
  24. Power analysis and sample size estimation for sequence-based association studies. Bioinformatics. 2014 Aug 15; 30(16):2377-8.
    View in: PubMed
    Score: 0.003
  25. Genome-wide association study of dermatomyositis reveals genetic overlap with other autoimmune disorders. Arthritis Rheum. 2013 Dec; 65(12):3239-47.
    View in: PubMed
    Score: 0.003
  26. Propagation of obesity across generations: the roles of differential realized fertility and assortative mating by body mass index. Hum Hered. 2013; 75(2-4):204-12.
    View in: PubMed
    Score: 0.003
  27. Derived SNP alleles are used more frequently than ancestral alleles as risk-associated variants in common human diseases. J Bioinform Comput Biol. 2012 Apr; 10(2):1241008.
    View in: PubMed
    Score: 0.003
  28. Genome-wide algorithm for detecting CNV associations with diseases. BMC Bioinformatics. 2011 Aug 09; 12:331.
    View in: PubMed
    Score: 0.003
  29. A modified forward multiple regression in high-density genome-wide association studies for complex traits. Genet Epidemiol. 2009 Sep; 33(6):518-25.
    View in: PubMed
    Score: 0.002
  30. Detection of disease-associated deletions in case-control studies using SNP genotypes with application to rheumatoid arthritis. Hum Genet. 2009 Aug; 126(2):303-15.
    View in: PubMed
    Score: 0.002
  31. Estimating the growth rates of primary lung tumours from samples with missing measurements. Stat Med. 2005 Apr 15; 24(7):1117-34.
    View in: PubMed
    Score: 0.002
  32. Pharmacoproteomic analysis of prechemotherapy and postchemotherapy plasma samples from patients receiving neoadjuvant or adjuvant chemotherapy for breast carcinoma. Cancer. 2004 May 01; 100(9):1814-22.
    View in: PubMed
    Score: 0.002
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.