Analysis of Variance of Multiple Causal Networks
Authors: Zhongli Jiang, Dabao Zhang
NeurIPS 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrated the effectiveness of our method by applying it to synthetic and real datasets. |
| Researcher Affiliation | Academia | Zhongli Jiang Department of Statistics, Purdue University, West Lafayette, IN jiang548@purdue.edu Dabao Zhang Department of Epidemiology & Biostatistics, University of California, Irvine, CA dabao.zhang@uci.edu |
| Pseudocode | Yes | Algorithm 1 ANalysis Of VAriance of directed Networks (Net ANOVA) |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | Yes | We obtained transcriptomic and genotypic data of healthy lungs (n = 482) from the Genotype-Tissue Expression (GTEx) project [6] and of both LUAD (n = 485) and LUSC (n = 406) from The Cancer Genome Atlas (TCGA) project [22]. ... The results shown here are in whole or part based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga. The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS. The data used for the analyses described in this manuscript were obtained from the GTEx Portal on 10/03/2021 and db Ga P accession number phs000424.v8.p2 on 7/23/2019. |
| Dataset Splits | No | The paper does not provide specific dataset split information (percentages, counts, or citations to predefined splits) needed to reproduce the data partitioning for training, validation, and testing. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments, only mentioning 'high-performance clusters'. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers). |
| Experiment Setup | Yes | For each sample size, we simulated 100 data sets and applied Net ANOVA to each by bootstrapping 100 times to calculate p values... We bootstrapped the data 100 times to assess the significance of all effects... |