Permutation importance: a corrected feature importance measure
about
A robust and accurate method for feature selection and prioritization from multi-class OMICs data.Recent tree cover increases in eastern China linked to low, declining human pressure, steep topography, and climatic conditions favoring tree growthPredicting phenotypes of asthma and eczema with machine learning.Power of data mining methods to detect genetic associations and interactionsDetection of independent associations in a large epidemiologic dataset: a comparison of random forests, boosted regression trees, conventional and penalized logistic regression for identifying independent factors associated with H1N1pdm influenza inDeep biomarkers of human aging: Application of deep neural networks to biomarker development.Challenges in interpreting allergen microarrays in relation to clinical symptoms: a machine learning approachRandom forest classification of etiologies for an orphan disease.Effective identification of Gram-negative bacterial type III secreted effectors using position-specific residue conservation profiles.Cell-of-origin chromatin organization shapes the mutational landscape of cancerPhylogenetic approaches to microbial community classification.An experimental study of the intrinsic stability of random forest variable importance measures.Bagging survival tree procedure for variable selection and prediction in the presence of nonsusceptible patients.The phenotypic manifestations of rare genic CNVs in autism spectrum disorder.In silico identification of enhancers on the basis of a combination of transcription factor binding motif occurrencesA glimpse at short-term controls of evapotranspiration along the southern slopes of Kilimanjaro.Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.Evaluation of variable selection methods for random forests and omics data sets.Exploration of the effect of sequence variations located inside the binding pocket of HIV-1 and HIV-2 proteases.A Machine Learning Application Based in Random Forest for Integrating Mass Spectrometry-Based Metabolomic Data: A Simple Screening Method for Patients With Zika Virus.Identifying residential neighbourhood types from settlement points in a machine learning approach.Variable selection in omics data: A practical evaluation of small sample sizes.Random Forests Based Group Importance Scores and Their Statistical Interpretation: Application for Alzheimer's Disease.Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformaticsEnhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting
P2860
Q30854630-A64A87EF-FB86-4033-A6A4-2B31D84CF801Q33772987-54866E87-A294-43E0-AC38-DDC61DD7C6AFQ33912813-6EFDE1D1-986F-4510-971C-FF64F1467576Q34024897-2F71384E-B063-4821-A7E5-3504E1E2A583Q34096995-2E3E050D-D83C-463B-B823-8CE7BE8C2D9BQ34527074-9C946C26-623E-4B35-948B-8332B2F7F672Q34805391-8C6A63ED-DE0D-4D56-A4A9-C6D426C2BF7EQ35027782-06C89DBF-3391-48DB-A52E-501975EB1705Q35082975-21E3D765-6FCE-428F-9EDC-5875D2068519Q35510462-6B0BB3B4-ECFF-4720-8726-D5D3068D80BCQ35799728-4442D43B-8523-46A3-8157-CF9DE6B20C73Q35913917-F29A9C8D-ED65-438A-8FF5-719A982FC351Q36041857-6E602908-509E-4492-B6E7-65EA23F0ECBCQ36594526-D6145329-D028-4C11-92D5-727D4F46FF11Q37223613-A2569943-8FB5-476C-B6E2-7F628144975DQ38610963-6908121E-FD14-4A12-839E-F7FF769BCF10Q38989842-EC1C343E-4D17-4F23-8AB0-BE03827507D1Q45944839-7A7F4E46-49D8-453E-98C9-EFE789682CB2Q52595330-0C7413A9-3D0A-4DE6-ADE4-2AA9227DB603Q54091044-99CA857A-AAFB-47E7-894B-1F465A0B9413Q55112677-DC616158-E609-417A-BC29-B73DF6764187Q55496706-138B8990-644D-454A-B24E-0F342EA5826AQ55711895-CB9C363A-63E0-44C6-AC78-76025B444EF8Q57619833-E92CFDF3-8AEB-4209-8217-C978BE8F5A60Q58700306-2774D351-A337-4EF7-AE74-7519FD0A758C
P2860
Permutation importance: a corrected feature importance measure
description
scholarly article
@en
name
Permutation importance: a corrected feature importance measure
@en
type
label
Permutation importance: a corrected feature importance measure
@en
prefLabel
Permutation importance: a corrected feature importance measure
@en
P356
P1433
P1476
Permutation importance: a corrected feature importance measure
@en
P2093
Laura Toloşi
Oliver Sander
P304
P356
10.1093/BIOINFORMATICS/BTQ134
P407
P577
2010-04-12T00:00:00Z