Prati
Frank Emmert-Streib
Frank Emmert-Streib
Professor, Tampere University, Predictive Society and AI Lab
Potvrđena adresa e-pošte na bio-complexity.com - Početna stranica
Naslov
Citirano
Citirano
Godina
An introductory review of deep learning for prediction models with big data
F Emmert-Streib, Z Yang, H Feng, S Tripathi, M Dehmer
Frontiers in artificial intelligence 3, 4, 2020
6722020
Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks
F Emmert-Streib, M Dehmer, B Haibe-Kains
Frontiers in cell and developmental biology 2, 38, 2014
3522014
A review of connectivity map and computational approaches in pharmacogenomics
A Musa, LS Ghoraie, SD Zhang, G Glazko, O Yli-Harja, M Dehmer, ...
Briefings in bioinformatics 19 (3), 506-523, 2018
3372018
Fifty years of graph matching, network alignment and network comparison
F Emmert-Streib, M Dehmer, Y Shi
Information sciences 346, 180-197, 2016
3012016
Inferring the conservative causal core of gene regulatory networks
G Altay, F Emmert-Streib
BMC systems biology 4, 1-13, 2010
2252010
Statistical modelling of molecular descriptors in QSAR/QSPR
K Varmuza, M Dehmer, D Bonchev
Wiley Online Library, 2012
2082012
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
A Holzinger, M Dehmer, F Emmert-Streib, R Cucchiara, I Augenstein, ...
Information Fusion 79, 263-278, 2022
1982022
Named entity recognition and relation detection for biomedical information extraction
N Perera, M Dehmer, F Emmert-Streib
Frontiers in cell and developmental biology 8, 673, 2020
1802020
High-dimensional LASSO-based computational regression models: regularization, shrinkage, and selection
F Emmert-Streib, M Dehmer
Machine Learning and Knowledge Extraction 1 (1), 359-383, 2019
1682019
Harnessing naturally randomized transcription to infer regulatory relationships among genes
LS Chen, F Emmert-Streib, JD Storey
Genome biology 8, 1-13, 2007
1682007
Statistical inference and reverse engineering of gene regulatory networks from observational expression data
F Emmert-Streib, GV Glazko, G Altay, R de Matos Simoes
Frontiers in genetics 3, 8, 2012
1582012
Networks for systems biology: conceptual connection of data and function
F Emmert-Streib, M Dehmer
IET systems biology 5 (3), 185-207, 2011
1572011
Understanding statistical hypothesis testing: The logic of statistical inference
F Emmert-Streib, M Dehmer
Machine Learning and Knowledge Extraction 1 (3), 945-962, 2019
1472019
Introduction to survival analysis in practice
F Emmert-Streib, M Dehmer
Machine Learning and Knowledge Extraction 1 (3), 1013-1038, 2019
1452019
Bagging statistical network inference from large-scale gene expression data
R de Matos Simoes, F Emmert-Streib
PloS one 7 (3), e33624, 2012
1432012
Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets
GV Glazko, F Emmert-Streib
Bioinformatics 25 (18), 2348-2354, 2009
1412009
Pathway analysis of expression data: deciphering functional building blocks of complex diseases
F Emmert-Streib, GV Glazko
PLoS computational biology 7 (5), e1002053, 2011
1392011
Structural analysis of complex networks
M Dehmer
Springer Science & Business Media, 2010
1372010
On entropy-based molecular descriptors: Statistical analysis of real and synthetic chemical structures
M Dehmer, K Varmuza, S Borgert, F Emmert-Streib
Journal of chemical information and modeling 49 (7), 1655-1663, 2009
1362009
Evaluation of regression models: Model assessment, model selection and generalization error
F Emmert-Streib, M Dehmer
Machine learning and knowledge extraction 1 (1), 521-551, 2019
1342019
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