Chen Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Chen Li has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Andrew Aukerman
Memorial Sloan Kettering Cancer Center 3 Department of Epidemiology and Biostatistics New York, New York
14 shared publications - Chao Chen
Department of Biomedical Informatics Stony Brook University
14 shared publications - Gustavo Martinez-Delgado
Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York
14 shared publications - Hanina Hibshoosh
Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York
14 shared publications - Jasmine A. McDonald
Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, 168th Street, Floor 7R, New York, NY 10032, USA
14 shared publications - Joel Saltz
Stony Brook University, Stony Brook, NY, USA
14 shared publications
Latest Publications
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 4 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of Spatial Survival Prediction with and without PD-L1
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 4 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of Spatial Survival Prediction with and without PD-L1
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 3 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of Survival Prediction of Base and Base + Topology Spatial Biomarkers applying ALL versus Tumor-Only Parameters
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 3 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of Survival Prediction of Base and Base + Topology Spatial Biomarkers applying ALL versus Tumor-Only Parameters
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 8 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of Survival Prediction of Topology-based Spatial Biomarkers with traditional protein biomarkers and clinical features
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 8 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of Survival Prediction of Topology-based Spatial Biomarkers with traditional protein biomarkers and clinical features
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 5 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Topology-based Biomarkers are more sensitive and race invariant predictors of breast cancer survival than estrogen receptor expression
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 5 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Topology-based Biomarkers are more sensitive and race invariant predictors of breast cancer survival than estrogen receptor expression
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table 1 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of predictive values (C-index, survival) of different spatial features and input data
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 1 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of predictive values (C-index, survival) of different spatial features and input data
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 2 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Respresentative samples demonstrating range of PD-L1 intensities
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 2 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Respresentative samples demonstrating range of PD-L1 intensities
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table 2 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Published clinical trials data
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 2 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Published clinical trials data
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 1 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Indexing flowchart and schematic for phenotyping of mQIF channels and point cloud generation
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 1 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Indexing flowchart and schematic for phenotyping of mQIF channels and point cloud generation
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 9 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Topology-based Spatial Biomarkers predict patient response to neoadjuvant chemotherapy in breast cancer clinical trials
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 9 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Topology-based Spatial Biomarkers predict patient response to neoadjuvant chemotherapy in breast cancer clinical trials
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 7 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of Topological survival prediction (KM curve) in the presence and the absence of PD-L1 across the breast cancer subtypes LumA, LumB, Her2, and TNBC
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 7 from Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Comparison of Topological survival prediction (KM curve) in the presence and the absence of PD-L1 across the breast cancer subtypes LumA, LumB, Her2, and TNBC