In the construction of activity prediction models, the use of feature ranking methods is a useful mechanism for extracting information for ranking features in terms of their significance to develop predictive models. This paper studies the influence of feature rankers in the construction of molecular activity prediction models; for this purpose, a comparative study of fourteen rankings methods for feature selection was conducted. The activity prediction models were constructed using four well-known classifiers and a wide collection of datasets. The ranking algorithms were compared considering the performance of these classifiers using different metrics and the consistency of the ranked features.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s10822-019-00273-1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study.
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
View Article and Find Full Text PDFExternal Validation of the Walter Index for Posthospitalization Mortality Prediction in Older Adults.
JAMA Netw Open
January 2025
Division of Geriatrics, School of Medicine, University of California San Francisco.
Importance: The Walter Index is a widely used prognostic tool for assessing 12-month mortality risk among hospitalized older adults. Developed in the US in 2001, its accuracy in contemporary non-US contexts is unclear.
Objective: To evaluate the external validity of the Walter Index in predicting posthospitalization mortality risk in Brazilian older adult inpatients.
Introduction: Tat protein is a trans-activator of HIV-1 genome transcription, with additional functions including the ability to induce the chronic inflammatory process. Natural amino acid polymorphisms in Tat may affect its functional properties and the course of HIV infection. The aim of this work is to analyze the marks of Tat consensus sequences in non-A6 HIV-1 variants characteristic of the Russian Federation, as well as study natural polymorphisms in Tat CRF63_02A6 and subtype B variants circulating in Russia.
View Article and Find Full Text PDFTranscriptome Analysis Reveals the Key Genes and Pathways for Growth, Ion Transport, and Oxidative Stress in Post-Larval Black Tiger Shrimp (Penaeus monodon) Under Acute Low Salt Stress.
Mar Biotechnol (NY)
January 2025
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China.
As an abiotic stress factor, salinity significantly affects the physiological activities of crustaceans. In this study, transcriptome sequencing was used to evaluate the mechanism of ion transport and the physiological response of black tiger shrimp (Penaeus monodon) under low salt stress. Four hundred post larval (PL) stage P.
View Article and Find Full Text PDFUsefulness of serum HBV RNA levels for predicting antiviral response to entecavir treatment in patients with chronic hepatitis B.
J Gastroenterol
January 2025
Department of Gastroenterology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Background: Hepatitis B virus (HBV) RNA is an important serum biomarker of hepatic covalently closed circular DNA (cccDNA) transcriptional activity; however, its clinical characteristics remain unclear. This study evaluated the clinical utility of HBV RNA levels in patients with chronic hepatitis B (CHB).
Methods: We studied 87 CHB patients with serum HBV DNA levels ≥ 5.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!