Connection

NATHAN FOWLER to Gene Expression Profiling

This is a "connection" page, showing publications NATHAN FOWLER has written about Gene Expression Profiling.
Connection Strength

0.242
  1. Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data. Commun Biol. 2024 Mar 30; 7(1):392.
    View in: PubMed
    Score: 0.100
  2. Conserved pan-cancer microenvironment subtypes predict response to immunotherapy. Cancer Cell. 2021 06 14; 39(6):845-865.e7.
    View in: PubMed
    Score: 0.082
  3. Comprehensive peripheral blood immunoprofiling reveals five immunotypes with immunotherapy response characteristics in patients with cancer. Cancer Cell. 2024 May 13; 42(5):759-779.e12.
    View in: PubMed
    Score: 0.025
  4. Clinical and Biological Subtypes of B-cell Lymphoma Revealed by Microenvironmental Signatures. Cancer Discov. 2021 06; 11(6):1468-1489.
    View in: PubMed
    Score: 0.020
  5. Loss of PRDM1/BLIMP-1 function contributes to poor prognosis of activated B-cell-like diffuse large B-cell lymphoma. Leukemia. 2017 03; 31(3):625-636.
    View in: PubMed
    Score: 0.015
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.