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Connection

Shinya Tasaki to Proteomics

This is a "connection" page, showing publications Shinya Tasaki has written about Proteomics.
Connection Strength

2.085
  1. Inferring protein expression changes from mRNA in Alzheimer's dementia using deep neural networks. Nat Commun. 2022 02 03; 13(1):655.
    View in: PubMed
    Score: 0.740
  2. Multiomic disease signatures converge to cytotoxic CD8 T cells in primary Sj?gren's syndrome. Ann Rheum Dis. 2017 Aug; 76(8):1458-1466.
    View in: PubMed
    Score: 0.534
  3. Phosphoproteomics-based modeling defines the regulatory mechanism underlying aberrant EGFR signaling. PLoS One. 2010 Nov 10; 5(11):e13926.
    View in: PubMed
    Score: 0.340
  4. Modeling and estimation of dynamic EGFR pathway by data assimilation approach using time series proteomic data. Genome Inform. 2006; 17(2):226-38.
    View in: PubMed
    Score: 0.243
  5. Multi-omics monitoring of drug response in rheumatoid arthritis in pursuit of molecular remission. Nat Commun. 2018 07 16; 9(1):2755.
    View in: PubMed
    Score: 0.145
  6. Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors. Neuron. 2021 11 03; 109(21):3402-3420.e9.
    View in: PubMed
    Score: 0.045
  7. Association of Cortical ?-Amyloid Protein in the Absence of Insoluble Deposits With Alzheimer Disease. JAMA Neurol. 2019 07 01; 76(7):818-826.
    View in: PubMed
    Score: 0.039
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.