Literature DB >> 11083097

Gene expression microarray data analysis for toxicology profiling.

M J Cunningham1, S Liang, S Fuhrman, J J Seilhamer, R Somogyi.   

Abstract

When dealing with thousands of genes, all potentially interesting, it is desirable to rank the genes according to their degree of participation in a physiological process. Therefore, genes with the highest Shannon entropy and ERL can be selected as the best toxicity target candidates, permitting preclinical scientists to focus their research and resources on those genes.

Entities:  

Mesh：

Substances：

Year:  2000        PMID： 11083097     DOI： 10.1111/j.1749-6632.2000.tb06867.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN： 0077-8923            Impact factor:   5.691


  7 in total

1.  Spearman correlation identifies statistically significant gene expression clusters in spinal cord development and injury.

Authors:  Max Kotlyar; Stefanie Fuhrman; Alan Ableson; Roland Somogyi
Journal:  Neurochem Res       Date:  2002-10       Impact factor: 3.996

2.  Cellular response of polyvalent oligonucleotide-gold nanoparticle conjugates.

Authors:  Matthew D Massich; David A Giljohann; Abrin L Schmucker; Pinal C Patel; Chad A Mirkin
Journal:  ACS Nano       Date:  2010-10-26       Impact factor: 15.881

3.  The hepatic transcriptome in human liver disease.

Authors:  Nicholas A Shackel; Devanshi Seth; Paul S Haber; Mark D Gorrell; Geoffrey W McCaughan
Journal:  Comp Hepatol       Date:  2006-11-07

4.  Promoter features related to tissue specificity as measured by Shannon entropy.

Authors:  Jonathan Schug; Winfried-Paul Schuller; Claudia Kappen; J Michael Salbaum; Maja Bucan; Christian J Stoeckert
Journal:  Genome Biol       Date:  2005-03-29       Impact factor: 13.583

5.  Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes.

Authors:  Amin Zollanvari; Mary Jane Cunningham; Ulisses Braga-Neto; Edward R Dougherty
Journal:  BMC Bioinformatics       Date:  2009-10-08       Impact factor: 3.169

6.  Defining signal thresholds in DNA microarrays: exemplary application for invasive cancer.

Authors:  M Bilban; L K Buehler; S Head; G Desoye; V Quaranta
Journal:  BMC Genomics       Date:  2002-07-17       Impact factor: 3.969

7.  Use of high-throughput RT-qPCR to assess modulations of gene expression profiles related to genomic stability and interactions by cadmium.

Authors:  Bettina Maria Fischer; Daniel Neumann; Ann Liza Piberger; Sarah Fremgaard Risnes; Beate Köberle; Andrea Hartwig
Journal:  Arch Toxicol       Date:  2015-11-02       Impact factor: 5.153
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.