Identification and quantification of metabolites in 1H NMR spectra by Bayesian model selection

C Zheng, S Zhang, S Ragg, D Raftery, O Vitek - Bioinformatics, 2011 - academic.oup.com
Motivation: Nuclear magnetic resonance (NMR) spectroscopy is widely used for high-
throughput characterization of metabolites in complex biological mixtures. However …

[图书][B] Advances in meat processing technology

AEDA Bekhit - 2017 - books.google.com
Meat is a unique biological material with a central importance in nutrition and health.
Advances in Meat Processing Technology merges the expertise of meat scientists and food …

Expression microarray classification using topic models

M Bicego, P Lovato, B Oliboni, A Perina - Proceedings of the 2010 ACM …, 2010 - dl.acm.org
Classification of samples in expression microarray experiments represents a crucial task in
bioinformatics and biomedicine. In this paper this scenario is addressed by employing a …

The use of GC× GC/TOF MS with multivariate analysis for the characterization of foodborne pathogen bacteria profiles

JY Gardner, DE Brillhart, MM Benjamin… - Journal of separation …, 2011 - Wiley Online Library
The cellular fatty acid profiles of eight strains of Bacillus, Staphylococcus, and
Enterobacteriacae (Escherichia coli and Salmonella) were analyzed by comprehensive two …

Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications

FM Schleif, T Riemer, U Börner, L Schnapka-Hille… - …, 2011 - academic.oup.com
Motivation: The analysis of metabolic processes is becoming increasingly important to our
understanding of complex biological systems and disease states. Nuclear magnetic …

Volcano-seismic events classification using document classification strategies

M Bicego, JM Londoño-Bonilla… - Image Analysis and …, 2015 - Springer
In this paper we propose a novel framework for the classification of volcano-seismic events,
based on strategies and concepts typically employed to classify documents–subsequently …

基于小波变换和连续Hopfield 神经网络的重叠峰解析策略.

徐喜荣, 潘子琦, 李兴华… - Journal of Dalian …, 2019 - search.ebscohost.com
针对化学谱图分析中的重叠峰解析问题, 提出了一种基于小波变换和连续Hopfield
神经网络的谱图重叠峰解析策略. 使用高斯函数作为曲线拟合的数学模型 …

Perspectives on combining Nonlinear Laser Scanning Microscopy and Bag-of-Features data classification strategies for automated disease diagnostics

SG Stanciu, DE Tranca, GA Stanciu, R Hristu… - Optical and Quantum …, 2016 - Springer
Abstract Nonlinear Laser Scanning Microscopy (NLSM) techniques have been
demonstrated in the past two decades as powerful imaging tools for disease diagnostics …

Reproducibility and validity of ultrasound-assessed visceral and subcutaneous body fat and associations with inflammatory parameters and metabolites

I Schlecht - 2017 - epub.uni-regensburg.de
Obesity is a complex multifactorial disease influencing several metabolic pathways. To
better understand biological mechanisms that link obesity to obesity-associated diseases, it …

Enriched bag of words for protein remote homology detection

A Cucci, P Lovato, M Bicego - … Workshop, S+ SSPR 2016, Mérida, Mexico …, 2016 - Springer
One of the most challenging Pattern Recognition problems in Bioinformatics is to detect if
two proteins that show very low sequence similarity are functionally or structurally related …