Alberto de la Fuente

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Pedro MendesUniversity of ConnecticutVerified email at uchc.edu
Diogo M. CamachoVice President, Computational Biology @ CellarityVerified email at cellarity.com
Daniel MarbachRoche Pharma Research and Early Development, Basel, SwitzerlandVerified email at roche.com
Ina HoescheleProfessor, Virginia Bioinformatics Institute at Virginia TechVerified email at vt.edu
Robert J. PrillIBM ResearchVerified email at us.ibm.com
Robert KueffnerVerified email at bio.ifi.lmu.de
James CostelloUniversity of Colorado Anschutz Medical CampusVerified email at ucdenver.edu
Kyle R AllisonAssistant Professor, Emory UniversityVerified email at emory.edu
Manolis KellisProfessor of Computer Science, MIT and Broad InstituteVerified email at mit.edu
Paola Vera-LiconaUniversity of ConnecticutVerified email at uchc.edu
James J CollinsMIT; Wyss Institute, Harvard; Broad Institute of MIT & HarvardVerified email at mit.edu
Nicola SoranzoEarlham InstituteVerified email at earlham.ac.uk
Heribert HirtINRAE, KAUST, Univ. ViennaVerified email at univie.ac.at
Enrico Pieroni, MSci, PhDSenior Researcher, Modeling & Simulations, Biosciences, CRS4Verified email at crs4.it
Pablo MeyerResearch Staff Member, IBMVerified email at us.ibm.com
Raquel NorelResearch Staff Member, IBMVerified email at us.ibm.com
Hans WesterhoffUniversity of Amsterdam, VU University Amsterdam, University of ManchesterVerified email at manchester.ac.uk
Lindsay M ReynoldsAssistant Professor, Wake Forest School of MedicineVerified email at wakehealth.edu
TC RegisterProfessor of Pathology, Wake Forest School of MedicineVerified email at wakehealth.edu
David SiscovickEmeritus Professor of Medicine and EpidemiologyVerified email at nyam.org

Alberto de la Fuente

Qatar Biomedical Research Institute

Verified email at hbku.edu.qa

Network Inference Integrative Genomics Machine learning for disease classification


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature Methods, 2012	1836	2012
Discovery of meaningful associations in genomic data using partial correlation coefficients A De La Fuente, N Bing, I Hoeschele, P Mendes Bioinformatics 20 (18), 3565-3574, 2004	692	2004
From ‘differential expression’to ‘differential networking’–identification of dysfunctional regulatory networks in diseases A de la Fuente Trends in genetics 26 (7), 326-333, 2010	518	2010
Gene networks: how to put the function in genomics P Brazhnik, A De La Fuente, P Mendes TRENDS in Biotechnology 20 (11), 467-472, 2002	387	2002
The origin of correlations in metabolomics data D Camacho, A De La Fuente, P Mendes Metabolomics 1, 53-63, 2005	323	2005
Inferring causal molecular networks: empirical assessment through a community-based effort SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ... Nature methods 13 (4), 310-318, 2016	252	2016
Linking the genes: inferring quantitative gene networks from microarray data A de la Fuente, P Brazhnik, P Mendes TRENDS in Genetics 18 (8), 395-398, 2002	222	2002
Gene network inference via structural equation modeling in genetical genomics experiments B Liu, A de La Fuente, I Hoeschele Genetics 178 (3), 1763-1776, 2008	156	2008
Methylomics of gene expression in human monocytes Y Liu, J Ding, LM Reynolds, K Lohman, TC Register, A De La Fuente, ... Human molecular genetics 22 (24), 5065-5074, 2013	123	2013
Protein networking: insights into global functional organization of proteomes E Pieroni, S de la Fuente van Bentem, G Mancosu, E Capobianco, H Hirt, ... Proteomics 8 (4), 799-816, 2008	117	2008
From knockouts to networks: establishing direct cause-effect relationships through graph analysis A Pinna, N Soranzo, A De La Fuente PloS one 5 (10), e12912, 2010	108	2010
Alterations of a cellular cholesterol metabolism network are a molecular feature of obesity-related type 2 diabetes and cardiovascular disease J Ding, LM Reynolds, T Zeller, C Müller, K Lohman, BJ Nicklas, ... Diabetes 64 (10), 3464-3474, 2015	104	2015
Verification of systems biology research in the age of collaborative competition P Meyer, LG Alexopoulos, T Bonk, A Califano, CR Cho, A De La Fuente, ... Nature biotechnology 29 (9), 811-815, 2011	100	2011
Transcriptomic profiles of aging in purified human immune cells LM Reynolds, J Ding, JR Taylor, K Lohman, N Soranzo, A de la Fuente, ... BMC genomics 16, 1-17, 2015	74	2015
Towards functional phosphoproteomics by mapping differential phosphorylation events in signaling networks S de la Fuente van Bentem, WI Mentzen, A De La Fuente, H Hirt Proteomics 8 (21), 4453-4465, 2008	66	2008
Simulating systems genetics data with SysGenSIM A Pinna, N Soranzo, I Hoeschele, A de la Fuente Bioinformatics 27 (17), 2459-2462, 2011	53	2011
Modelling and simulation for metabolomics data analysis P Mendes, D Camacho, A De La Fuente Biochemical Society Transactions 33 (6), 1427-1429, 2005	47	2005
Metabolic control in integrated biochemical systems A de la Fuente, JL Snoep, HV Westerhoff, P Mendes European journal of biochemistry 269 (18), 4399-4408, 2002	41	2002
Dissecting the dynamics of dysregulation of cellular processes in mouse mammary gland tumor WI Mentzen, M Floris, A de la Fuente Bmc Genomics 10, 1-12, 2009	35	2009
Inferring gene networks: dream or nightmare? Part 1: Challenges 1 and 3 A Baralla, WI Mentzen, A De La Fuente Annals of the New York Academy of Sciences 1158 (1), 246-256, 2009	32	2009

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