Results 131 to 140 of about 6,871,211 (381)

Information theory applied to feature selection of binary-coded infrared spectra for automated interpretation by retrieval of reference data [PDF]

, 1979
P. Dupuis, P. Cleij, H. A. Van ’T Klooster, A. Dijkstra   +3 more
openalex   +1 more source

Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies

Molecular Oncology, EarlyView.
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren, Philippe Decruyenaere, Francisco Avila Cobos, Johanna Bult, Jill Deleu, Laudonia Lidia Dipalo, Hetty Hilde Helsmoortel, Eva Hulstaert, Annelien Morlion, Elena Ramos Varas, Kathleen Schoofs, Wim Trypsteen, Eveline Vanden Eynde, Hanne Van Droogenbroeck, Kimberly Verniers, Jo Vandesompele, Anneleen Decock   +16 more
wiley   +1 more source

On Supervised Feature Selection from High Dimensional Feature Spaces

APSIPA Transactions on Signal and Information Processing, 2022
Yijing Yang, Wei Wang, Hongyu Fu, C.-C. Jay Kuo   +3 more
doaj   +1 more source

Beta Distribution-Based Cross-Entropy for Feature Selection

Entropy, 2019
Analysis of high-dimensional data is a challenge in machine learning and data mining. Feature selection plays an important role in dealing with high-dimensional data for improvement of predictive accuracy, as well as better interpretation of the data ...
Weixing Dai, Dianjing Guo
doaj   +1 more source

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

Molecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi, Jérome Vialaret, Christophe Hirtz, Catherine Alix‐Panabières   +3 more
wiley   +1 more source

scikit-matter : A Suite of Generalisable Machine Learning Methods Born out of Chemistry and Materials Science [version 2; peer review: 2 approved, 1 approved with reservations]

Open Research Europe, 2023
Easy-to-use libraries such as scikit-learn have accelerated the adoption and application of machine learning (ML) workflows and data-driven methods. While many of the algorithms implemented in these libraries originated in specific scientific fields ...
Philip Loche, Alexander Goscinski, Guillaume Fraux, Victor Paul Principe, Benjamin Aaron Helfrecht, Sergei Kliavinek, Michele Ceriotti, Rose Kathleen Cersonsky   +7 more
doaj  

Robust feature selection for object recognition using uncertain 2D image data [PDF]

, 1994
Gandhi, Camps
openalex   +1 more source

Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression

Molecular Oncology, EarlyView.
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker, Samantha Hasenleithner, Rupert Bartsch, Simon P. Gampenrieder, Daniel Egle, Christian F. Singer, Gabriel Rinnerthaler, Michael Hubalek, Katja Schmitz, Zsuzsanna Bago‐Horvath, Andreas Petzer, Sonja Heibl, Ellen Heitzer, Marija Balic, Michael Gnant   +14 more
wiley   +1 more source

Feature selection environment for genomic applications

BMC Bioinformatics, 2008
Background Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e., for dimensionality reduction).
Martins David, Lopes Fabrício, Cesar Roberto M   +2 more
doaj   +1 more source

Circulating tumor cells in metastatic breast cancer patients treated with immune checkpoint inhibitors – a biomarker analysis of the ALICE and ICON trials

Molecular Oncology, EarlyView.
In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen, Andreas Hagen Røssevold, Elin Borgen, Cecilie Bendigtsen Schirmer, Bjørnar Gilje, Øystein Garred, Jon Lømo, Marius Stensland, Oddmund Nordgård, Ragnhild Sørum Falk, Randi R. Mathiesen, Hege G. Russnes, Jon Amund Kyte, Bjørn Naume   +13 more
wiley   +1 more source