Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Integrated analysis of transcript profiling and protein sequence data.

L R Grate1, C Bhattacharyya, M I Jordan

  • 1Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

Mechanisms of Ageing and Development
|March 6, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Machine learning: Trends, perspectives, and prospects.

Science (New York, N.Y.)·2015
Same author

Structural divergence in vertebrate phylogeny of a duplicated prototype galectin.

Genome biology and evolution·2014
Same author

Computational Consequences of a Bias toward Short Connections.

Journal of cognitive neuroscience·2013
Same author

A model of the learning of arm trajectories from spatial deviations.

Journal of cognitive neuroscience·2013
Same author

Communication theory and multicellular biology.

Integrative biology : quantitative biosciences from nano to macro·2011
Same author

A fast iterative nearest point algorithm for support vector machine classifier design.

IEEE transactions on neural networks·2008
Same journal

Human sex-specific hormone effects on cerebrovascular health in males and females.

Mechanisms of ageing and development·2026
Same journal

HTZ-1/H2A.Z expression sustains transcriptional programs that regulate Caenorhabditis elegans lifespan.

Mechanisms of ageing and development·2026
Same journal

PCSK9 promotes aging-related cardiac calcification by inducing osteogenic differentiation of cardiac fibroblasts.

Mechanisms of ageing and development·2026
Same journal

Distinct post-infectious TLR2 immune remodeling in COVID-19-recovered centenarians.

Mechanisms of ageing and development·2026
Same journal

Senescence-associated tertiary lymphoid structures in Sjögren's disease model nishiura mice.

Mechanisms of ageing and development·2026
Same journal

Aging-driven reprogramming of CD34⁺ hematopoietic stem cells in leukemogenesis: Mechanisms and therapeutic implications.

Mechanisms of ageing and development·2026
See all related articles

Researchers reanalyzed gastrointestinal stromal tumor (GIST) data using advanced statistical models. This approach identified six potential biomarkers, including a novel protein family linked to chromosome stability, offering new insights into cancer mechanisms.

Area of Science:

  • Genomics and Bioinformatics
  • Cancer Research
  • Molecular Biology

Background:

  • Transcript profiling is crucial for understanding cancer and aging mechanisms.
  • Previous studies on KIT mutation-positive GISTs utilized cDNA microarrays for gene expression analysis.
  • High-dimensional data present statistical challenges in classification and feature identification.

Purpose of the Study:

  • To re-examine GIST data using advanced statistical methods.
  • To identify novel biomarkers for GIST and potentially other cancers.
  • To characterize novel protein families involved in cellular processes.

Main Methods:

  • Application of sparse hyperplanes for classification.
  • Utilized naive Bayes models for feature identification.

Related Experiment Videos

  • Employed profile hidden Markov models for protein sequence family modeling.

    • Main Results:

    • Integrated analysis of molecular profiling and sequence data identified 6 clones of potential clinical interest.
    • A novel protein family, potentially involved in chromosome segregation and stability, was defined.
    • One family member emerged as a potential biomarker for sporadic breast cancer prognosis.

    Conclusions:

    • Advanced statistical modeling can effectively analyze complex transcriptomic data.
    • The identified protein family represents a significant discovery with implications for chromosome biology.
    • This study provides novel candidate biomarkers for GIST and breast cancer research.