Automated Organization ProfileNational University Cancer Institute, Singapore
National University Cancer Institute, Singapore
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.2 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository contains data used for the paper A multi-task domain-adapted model to predict chemotherapy response from mutations in recurrently altered cancer genes. It contains both processed versions of CCLE and TCGA data used, as well as deidentified raw data for the patient cohorts used in the paper.Link to code repo: 10.5281/zenodo.14742083
Authors
- Jayagopal, Aishwarya ;
- Walsh, Robert ;
- Rajan, Vaibhav
This repository contains data used for the paper A multi-task domain-adapted model to predict chemotherapy response from mutations in recurrently altered cancer genes. It contains both processed versions of CCLE and TCGA data used, as well as deidentified raw data for the patient cohorts used in the paper.Link to code repo: 10.5281/zenodo.14742083
Authors
- Jayagopal, Aishwarya ;
- Walsh, Robert ;
- Rajan, Vaibhav
- MM18 is an International study in collaboration with Asian Myeloma Network (AMN). - The overall number of participants planned was 100 (50 patients from ALLG sites and 50 from AMN sites). - Overall, the trial recruited 93 patients altogether (50 patients from ALLG sites and 43 patients from AMN sites). - The study included male and female patients, ≥18 years of age (*For Singapore, Male and female patients, ≥21 years of age). - This study was aimed for relapsed and/or refractory multiple myeloma with up to 3 lines of prior treatment. - The study aimed to assess the progression free survival in patients with RRMM who have had 1 to 3 prior therapies treated with combination carfilzomib, thalidomide and dexamethasone. Data types - Data set included 90 patients, as 3 patients were excluded due to screen failures.Cancer Australia demographic data-Year of birth-Aboriginal or Torres Strait Islander status (or Ethnicity) - Disease response collected as per IMWG criteria - Quality of life (EuroQoL EQ-5D-5L) was collected - Follow up data collected every 12 weeks. - ECOS performance status was assessed for all 90 patients throughout the study until follow up. - There were 2 interim analyses and a main analysis conducted. The first interim analysis was conducted on 02 August 2017 with 10 participants on study to assess safety. The second interim analysis was conducted on 28 April 2020. The analysis population for the second interim analysis was all patients that received at least one dose of carfilzomib and who could be assessed for the primary endpoint of PFS. Overall, 68 patients were evaluated for the second interim analysis (49 from Australia and 19 from Asian Myeloma Network). The final analysis was conducted on 12 May 2023 following the completion of the last patient’s final cycle of maintenance treatment.
Authors
- Quach, Hang ;
- Australasian Leukaemia And Lymphoma Group (ALLG) ;
- Chng, Wee Joo