feedforward ann models (KNIME GmbH)
90
Structured Review
KNIME GmbH
feedforward ann models
Feedforward Ann Models, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/feedforward+ann+models/feedforward+ann+models/pm31997574-177-17-25
Average 90 stars, based on 1 article reviews
Feedforward Ann Models, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/feedforward+ann+models/feedforward+ann+models/pm31997574-177-17-25
Average 90 stars, based on 1 article reviews
feedforward ann models - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: A machine learning approach for handling big data produced by high resolution mass spectrometry after data independent acquisition of small molecules - Proof of concept study using an artificial neural network for sample classification. Article Snippet: Correspondence Thomas Kraemer, Department of Forensic Pharmacology and Toxicology, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland.. Email: thomas.kraemer@irm.uzh.ch Abstract Liquid chromatography coupled to high-resolution mass spectrometry (HRMS) enables data independent acquisition (DIA) and untargeted screening.. However, to avoid the handling of the resulting large dataset, most laboratories in that field still use targeted screening methods, which offer good sensitivity and specificity but are limited to known compounds. |