We develop a novel feature selection method for linear regression with multivariate responses in ultrahigh-dimensional data analysis. This method is constructed under the framework of False Discovery Rate (FDR) control for multiple testing, and it employs a multiple data-splitting strategy. In each sp...
& Yuan, G. Retraction Note: Screening of feature genes related to immune and inflammatory responses in periodontitis. BMC Oral Health 24, 637 (2024). https://doi.org/10.1186/s12903-024-04378-4 Download citation Accepted17 May 2024 Published29 May 2024 DOIhttps://doi.org/10.1186/s12903-024...
A correction is presented to the article "Screening of feature genes related to immune and inflammatory responses in periodontitis" published in a previous issue of the periodical.doi:10.1186/s12903-024-04378-4Duan, AzhuZhang, YemingYuan, Gongjie...
Drug combination therapy is generally more effective than monotherapy in the field of cancer treatment. However, screening for effective synergistic combinations from a wide range of drug combinations is particularly important given the increase in the number of available drug classes and potential drug-...
2.1. Theoretical support: perfect screening property Let IS and IN be the index sets corresponding to the “signal” and the “noise” features, respectively. Define pS=|IS| and pN=|IN|. Given feature j, we write Sj(τ) for the corresponding largest merge size, computed the same way as...
Feature Extraction: Making preliminary screening and extraction to deal with the problem of missing values and redundancy of data. Options for processing of missing values, include mean interpolation, majority interpolation, etc. Options for processing of redundancy of data include data mining, etc. ...
Neuropathological processing included comprehensive screening for neurodegenerative conditions following procedures established for the UNITE brain bank [57, 76]. Participants with the following comorbidities were excluded: intermediate or high Alzheimer’s disease by NIA-Reagan criteria, motor neuron disease...
Essentially, pathomics is an excellent direction for analyzing tumor heterogeneity and treatment responses. However, for ductal adenocarcinoma, especially locally advanced and advanced pancreatic cancer, obtaining high-quality pathological specimens is challenging and risky, and samples obtained through puncture...
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In the CLE block, the central location of the pathological regions was extracted hierarchically through multiple convolutional layers. Each layer was performed via deep convolution of non-parametric kernel weights, where the kernel weights were set to 0 and the center position weights were set to 1...