To attain an accurate prediction for the risk effect of survival data with high-dimensional predictors, we propose a novel method: rank-based greedy (RG) model averaging. Specifically, adopting the transformation model with splitting predictors as working models, we doubly use the smooth concordance...
In this paper, we investigate model selection and model averaging based on rank regression. Under mild conditions, we propose a focused information criterion and a frequentist model averaging estimator for the focused parameters in rank regression model. Compared to the least squares method, the new...
The ensemble methods were based on averaging the ranks of features from individual rank lists. From their experimental results, they reported the superiority of the ensemble approaches. However, similar to Jia [33], averaging rank lists of features can be affected by the skewed ranks of each ...
Note: ESPN's NBArank panel, composed of nearly 150 reporters, editors, producers and analysts, were asked to rank players based on their predicted contributions -- quality and quantity -- for the 2023-24 season only. No. 100:Mitchell Robinson ...
[see Additional file1]. Two examples are shown in Figure5Awith RMA pre-processing. 1) A mouse model (MKM dataset) of carcinogenesis in cultured clonal keratinocytes [22,23]. Samples were run on the Affymetrix®MOE430A GeneChip®. This dataset represents cell culture based experiments with ...
Voters give us their 10 best players at a position, then we compile the results and rank candidates based on number of top-10 votes, composite average, along with dozens of interviews, research and film study from ESPN NFL analyst Matt Bowen. In total, mo...
Li C, Hung Wong W: Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application. Genome Biol 2001, 2(8):RESEARCH0032. PubMed Central CAS PubMed Google Scholar Bolstad BM, Irizarry RA, Astrand M, Speed TP: A comparison of normalization meth...
Due to different acquisition protocols, some thyroid ultrasound images have irrelevant regions (as shown in the first Figure). First, we remove these regions which may bring redundant features by using a threshold-based approach. Specifically, we perform the operation of averaging along the x and ...
Oukil and Govindaluri [51] proposed the DEA-ordered weighted averaging (DEA-OWA) model. This model first calculates and evaluates the weights of the football player index from an objective perspective based on the ordered weighted averaging (OWA). DEA was then employed to calculate the performan...
For more details about how to run a pre-trained model on new data, see thedocs. Computational Performances We measured the efficiency of data generation in DeepRank2 using the tutorials'PDB files(~100 data points per data set), averaging the results run on Apple M1 Pro, using a single CP...