Automated Author ProfileSikora, Marek
Sikora, Marek
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 3.2 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Analyzed gene set and reference gene set. This excel file includes 26 genes that compose described gene group G 1 and 135 genes from reference gene group G 2 analyzed in this study. The lists of genes were derived from Finak et al. [48]. (XLSX 33 kb)
Authors
- Gruca, Aleksandra ;
- Sikora, Marek
List of 57 GO terms related to hallmarks of cancer. This excel file includes a list of 57 GO terms related to the hallmarks of cancer from Knijnenburg et al. [50], which were used as a base to define the expert terms used in the analysis. (XLSX 29 kb)
Authors
- Gruca, Aleksandra ;
- Sikora, Marek
Rule network sets that were generated as a result of this analysis. This excel file includes rule network sets that were generated as a result of this analysis. Each tab of the Excel file represents different rule set: set S01 represents results for the RuleGO method without filtering procedure applied, set S02 is a standard method with applied filtering, set S03 applies filtering using UTA approach, and set S04 proposes a new approach that allows the user to control the process of logical rule generation by providing a set of seed terms. For the set S04, we provide six rule sets obtained with different sets of quality assessment and filtering parameters as presented in Table 2. Each row represents a single rule, and GO terms from the expert set (seed terms) are denoted with star (*). Also for sets S02, S03, and S04 seed terms are marked with bold font. For each rule, we also provide the number of genes supported and recognized by the rule, its precision, coverage, value of the QCompound measure, p-value, and the list of genes supported by that rule. (XLSX 257 kb)
Authors
- Gruca, Aleksandra ;
- Sikora, Marek
Rule network sets that were generated as a result of this analysis. This excel file includes rule network sets that were generated as a result of this analysis. Each tab of the Excel file represents different rule set: set S01 represents results for the RuleGO method without filtering procedure applied, set S02 is a standard method with applied filtering, set S03 applies filtering using UTA approach, and set S04 proposes a new approach that allows the user to control the process of logical rule generation by providing a set of seed terms. For the set S04, we provide six rule sets obtained with different sets of quality assessment and filtering parameters as presented in Table 2. Each row represents a single rule, and GO terms from the expert set (seed terms) are denoted with star (*). Also for sets S02, S03, and S04 seed terms are marked with bold font. For each rule, we also provide the number of genes supported and recognized by the rule, its precision, coverage, value of the QCompound measure, p-value, and the list of genes supported by that rule. (XLSX 257 kb)
Authors
- Gruca, Aleksandra ;
- Sikora, Marek
List of 57 GO terms related to hallmarks of cancer. This excel file includes a list of 57 GO terms related to the hallmarks of cancer from Knijnenburg et al. [50], which were used as a base to define the expert terms used in the analysis. (XLSX 29 kb)
Authors
- Gruca, Aleksandra ;
- Sikora, Marek
Analyzed gene set and reference gene set. This excel file includes 26 genes that compose described gene group G 1 and 135 genes from reference gene group G 2 analyzed in this study. The lists of genes were derived from Finak et al. [48]. (XLSX 33 kb)
Authors
- Gruca, Aleksandra ;
- Sikora, Marek