Header Logo

Connection

Mitsunori Ogihara to Humans

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

0.130
  1. A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression. Bioinformatics. 2004 Oct 12; 20(15):2429-37.
    View in: PubMed
    Score: 0.022
  2. Prediction of biologically significant components from microarray data: Independently Consistent Expression Discriminator (ICED). Bioinformatics. 2003 Jan; 19(1):62-70.
    View in: PubMed
    Score: 0.020
  3. Exploring Computational Data Amplification and Imputation for the Discovery of Type 1 Diabetes (T1D) Biomarkers from Limited Human Datasets. Biomolecules. 2022 Oct 09; 12(10).
    View in: PubMed
    Score: 0.020
  4. Objective measurement of head movement differences in children with and without autism spectrum disorder. Mol Autism. 2018; 9:14.
    View in: PubMed
    Score: 0.014
  5. Automatic classification of communication logs into implementation stages via text analysis. Implement Sci. 2016 09 06; 11(1):119.
    View in: PubMed
    Score: 0.013
  6. Blending Qualitative and Computational Linguistics Methods for Fidelity Assessment: Experience with the Familias Unidas Preventive Intervention. Adm Policy Ment Health. 2015 Sep; 42(5):574-85.
    View in: PubMed
    Score: 0.012
  7. A computational future for preventing HIV in minority communities: how advanced technology can improve implementation of effective programs. J Acquir Immune Defic Syndr. 2013 Jun 01; 63 Suppl 1:S72-84.
    View in: PubMed
    Score: 0.010
  8. Partnerships for the design, conduct, and analysis of effectiveness, and implementation research: experiences of the prevention science and methodology group. Adm Policy Ment Health. 2012 Jul; 39(4):301-16.
    View in: PubMed
    Score: 0.010
  9. Proteomic and phospho-proteomic profile of human platelets in basal, resting state: insights into integrin signaling. PLoS One. 2009 Oct 27; 4(10):e7627.
    View in: PubMed
    Score: 0.008
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.