Balázs Győrffy

Cancer Research · 2010–2024

A researcher in the Science corpus: 13 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Balázs Győrffy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. A. Lánczky
  2. Laurent Gautier
  3. Danzhi Huang
  4. Leslie M. Cope
  5. Brad T. Sherman
  6. R. Siegel
  7. Zoltan Szallasi
  8. Carsten Denkert
  9. Yoav Benjamini
  10. Jan Budczies

Who trusts Balázs Győrffy overall

  1. A. Lánczky
  2. Matan Hofree
  3. A. Szász
  4. Jan Budczies
  5. J. Shen

Papers from Balázs Győrffy's perspective

Ordered by how strongly the researchers Balázs Győrffy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. (Journal of Clinical Oncology)
  2. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. (New England Journal of Medicine)
  3. Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures (Breast Cancer Research)
  4. affy - analysis of Affymetrix GeneChip data at the probe level (Bioinform.)
  5. American Society of Clinical Oncology 2007 Update of Recommendations for the Use of Tumor Markers in Breast Cancer. (Journal of Oncology Practice)
  6. Evaluation of gene expression measurements from commercial microarray platforms. (Nucleic Acids Research)
  7. Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. (Journal of Clinical Oncology)
  8. The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements (Nature Biotechnology)
  9. Reliability and reproducibility issues in DNA microarray measurements. (Trends in Genetics)
  10. Hormone receptor status, tumor characteristics, and prognosis: a prospective cohort of breast cancer patients (Breast Cancer Research)

Their papers