Results 111 to 120 of about 2,058,652 (297)

A Feature Ranking Model with Redundancy Control

open access: yes工程科学与技术, 2016
:Aimed at problems of feature redundancy caused by the fact that feature correlation was seldom considered in the feature ranking methods,a feature ranking model with redundancy control was proposed.Maximum discrimination ability and minimum redundancy ...
周星, 刁兴春, 曹建军
doaj  

Iterative subtraction method for Feature Ranking

open access: yesCoRR, 2019
Training features used to analyse physical processes are often highly correlated and determining which ones are most important for the classification is a non-trivial tasks. For the use case of a search for a top-quark pair produced in association with a Higgs boson decaying to bottom-quarks at the LHC, we compare feature ranking methods for a ...
Paul Glaysher   +2 more
openaire   +3 more sources

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

open access: yesMolecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche   +10 more
wiley   +1 more source

Top-$k$ Feature Importance Ranking

open access: yesCoRR
Accurate ranking of important features is a fundamental challenge in interpretable machine learning with critical applications in scientific discovery and decision-making. Unlike feature selection and feature importance, the specific problem of ranking important features has received considerably less attention.
Eric Chen   +2 more
openaire   +3 more sources

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic   +10 more
wiley   +1 more source

Ranking of features according to feature importance.

open access: yes
Ranking of features according to feature importance.
Shadab Alam (3944615)   +6 more
core   +1 more source

Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy

open access: yesMolecular Oncology, EarlyView.
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen   +19 more
wiley   +1 more source

An Empirical Study on the Effectiveness of Feature Selection for Cross-Project Defect Prediction

open access: yesIEEE Access, 2019
Software defect prediction has attracted much attention of researchers in software engineering. At present, feature selection approaches have been introduced into software defect prediction, which can improve the performance of traditional defect ...
Qiao Yu   +4 more
doaj   +1 more source

A role for eIF5A in translational control of stress‐inducible proteins in multiple myeloma cell lines

open access: yesMolecular Oncology, EarlyView.
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both   +7 more
wiley   +1 more source

An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets

open access: yesInformation, 2019
In the last decade, there has been a growing scientific interest in the analysis of DNA microarray datasets, which have been widely used in basic and translational cancer research.
Nicole Dalia Cilia   +4 more
doaj   +1 more source

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