Author

Rueda-Santos MA

Unknown affiliation - Cited by 1,520 - Machine Learning - Computational Chemistry - Computational Economics

Biography

 Rueda-Santos MA works at the Department of Biological Sciences from the Wichita State University, USA. Rueda-Santos MA was born in 1965 in Bavaria, Germany. After studies of Chemistry with the focus on spectroscopic methods he did his PhD in Biophysics investigating the degradation of polysaccharides by reactive oxygen species (ROS). Currently, he is the leader of a working group at the Medical Faculty of the Leipzig University. His research focus is on (phospho)lipids, their role in different pathologies and the investigation of lipid oxidation products generated under inflammatory conditions by using NMR, mass spectrometry and chromatographic techniques.
Title
Cited by
Year
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
Nature biotechnology 28 (8), 827-838, 2010201
807
2010
Macroeconomic indicator forecasting with deep neural networks
A Smalter Hall, TR CookFederal Reserve Bank of Kansas City Working Paper, 2017201
89
2017
G-hash: towards fast kernel-based similarity search in large graph databases
X Wang, A Smalter, J Huan, GH LushingtonProceedings of the 12th international conference on extending database …, 2009200
53
2009
Macro-and micro-heterogeneity in pituitary and urinary follicle-stimulating hormone glycosylation
GR Bousfield, VY Butnev, MA Rueda-Santos, A Brown, AS Hall, ...Journal of glycomics & lipidomics 4, 2014201
50
2014
The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models
TMAQCM ConsortiumNature Biotechnology, 2010201
46
2010
Production, purification, and characterization of recombinant hFSH glycoforms for functional studies
VY Butnev, VY Butnev, JV May, B Shuai, P Tran, WK White, A Brown, ...Molecular and cellular endocrinology 405, 42-51, 2015201
46
2015
Comparison of follicle-stimulating hormone glycosylation microheterogenity by quantitative negative mode nano-electrospray mass spectrometry of peptide-N glycanase-released …
GR Bousfield, VY Butnev, WK White, AS Hall, DJ HarveyJournal of glycomics & lipidomics 5 (1), 2015201
41
2015
Recession forecasting using Bayesian classification
T Davig, AS HallInternational Journal of Forecasting 35 (3), 848-867, 2019201
41
2019
Machine learning approaches to macroeconomic forecasting
AS HallThe Federal Reserve Bank of Kansas City Economic Review 103 (63), 2, 2018201
40
2018
Gpm: A graph pattern matching kernel with diffusion for chemical compound classification
A Smalter, J Huan, G Lushington2008 8th IEEE International Conference on BioInformatics and BioEngineering, 1-6, 2008200
38
2008
Stability of the Clostridium botulinum Type A Neurotoxin Complex:  An Empirical Phase Diagram Based Approach
DT Brandau, SB Joshi, AM Smalter, S Kim, B Steadman, CR MiddaughMolecular Pharmaceutics 4 (4), 571-582, 2007200
31
2007
Human disease-gene classification with integrative sequence-based and topological features of protein-protein interaction networks
A Smalter, SF Lei, X Chen2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2007200
27
2007
Graph wavelet alignment kernels for drug virtual screening
A Smalter, J Huan, G LushingtonJournal of Bioinformatics and computational biology 7 (03), 473-497, 2009200
24
2009
Structure-based pattern mining for chemical compound classification
A Smalter, J Huan, G LushingtonProceedings of the 6th Asia Pacific Bioinformatics Conference, 2008200
18
2008
GPD: a graph pattern diffusion kernel for accurate graph classification with applications in cheminformatics
A Smalter, J Huan, Y Jia, G LushingtonIEEE/ACM transactions on computational biology and bioinformatics 7 (2), 197-207, 2009200
18
2009
A Network-based Analysis of Polyanion-binding Proteins Utilizing Yeast Protein Arrays* S
N Salamat-Miller, J Fang, CW Seidel, AM Smalter, Y Assenov, M Albrecht, ...Molecular & cellular proteomics 5 (12), 2263-2278, 2006200
17
2006
Application of kernel functions for accurate similarity search in large chemical databases
X Wang, J Huan, A Smalter, GH LushingtonBMC bioinformatics 11 (3), 1-, 2010201
14
2010
Effect of extracellular osmolality on porcine articular chondrocyte volume
C Deshayes, A Hall, J UrbanJournal of Physiology-London 467, 1993199
13
1993
Biosimilarity assessments of model IgG1-Fc glycoforms using a machine learning approach
JH Kim, SB Joshi, TJ Tolbert, CR Middaugh, DB Volkin, AS HallJournal of Pharmaceutical Sciences 105 (2), 602-6, 2016201
12
2016
Molecular dynamics of multivalent soluble antigen arrays support a two-signal co-delivery mechanism in the treatment of experimental autoimmune encephalomyelitis
BL Hartwell, A Smalter Hall, D Swafford, BP Sullivan, A Garza, JO Sestak, ...Molecular pharmaceutics 13 (2), 330-343, 2016201
12
2016

Referred From: https://scholar.google.com/citations?user=DlUgDOQAAAAJ&hl=en

Cited by
Citations 1520
h-index 16
i10-index 24
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