HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions L Bovolenta, M Acencio, N Lemke Nature Precedings, 1-1, 2012 | 287 | 2012 |
Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information ML Acencio, N Lemke BMC bioinformatics 10, 1-18, 2009 | 215 | 2009 |
Essentiality and damage in metabolic networks N Lemke, F Herédia, CK Barcellos, AN Dos Reis, JCM Mombach Bioinformatics 20 (1), 115-119, 2004 | 124 | 2004 |
Combining results from distinct microRNA target prediction tools enhances the performance of analyses AC Oliveira, LA Bovolenta, PG Nachtigall, ME Herkenhoff, N Lemke, ... Frontiers in genetics 8, 59, 2017 | 102 | 2017 |
Predicting essential genes and proteins based on machine learning and network topological features: a comprehensive review X Zhang, ML Acencio, N Lemke Frontiers in physiology 7, 75, 2016 | 95 | 2016 |
A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data PR Costa, ML Acencio, N Lemke BMC genomics 11, 1-15, 2010 | 91 | 2010 |
Prediction of druggable proteins using machine learning and systems biology: a mini-review G Kandoi, ML Acencio, N Lemke Frontiers in Physiology 6, 366, 2015 | 74 | 2015 |
A mean-field theory of cellular growth JCM Mombach, N Lemke, BEJ Bodmann, MAP Idiart Europhysics letters 59 (6), 923, 2002 | 73 | 2002 |
Loss of sleep spindle frequency deceleration in obstructive sleep apnea DZ Carvalho, GJL Gerhardt, G Dellagustin, EL de Santa-Helena, N Lemke, ... Clinical Neurophysiology 125 (2), 306-312, 2014 | 70 | 2014 |
Topography-specific spindle frequency changes in obstructive sleep apnea SV Schönwald, DZ Carvalho, EL de Santa-Helena, N Lemke, ... BMC neuroscience 13, 1-12, 2012 | 58 | 2012 |
The Development of a Universal In Silico Predictor of Protein-Protein Interactions GT Valente, ML Acencio, C Martins, N Lemke PloS one 8 (5), e65587, 2013 | 53 | 2013 |
Using amino acid correlation and community detection algorithms to identify functional determinants in protein families L Bleicher, N Lemke, RC Garratt PloS one 6 (12), e27786, 2011 | 44 | 2011 |
PLA2-like proteins myotoxic mechanism: a dynamic model description RJ Borges, N Lemke, MRM Fontes Scientific Reports 7 (1), 15514, 2017 | 42 | 2017 |
A numerical investigation of adaptation in populations of random Boolean networks N Lemke, CM Jose’e, BEJ Bodmann Physica A: Statistical Mechanics and its Applications 301 (1-4), 589-600, 2001 | 41 | 2001 |
In silico network topology-based prediction of gene essentiality JPM da Silva, ML Acencio, JCM Mombach, R Vieira, JC da Silva, ... Physica A: Statistical Mechanics and its Applications 387 (4), 1049-1055, 2008 | 36 | 2008 |
An improved interolog mapping-based computational prediction of protein–protein interactions with increased network coverage EL Folador, SS Hassan, N Lemke, D Barh, A Silva, RS Ferreira, ... Integrative Biology 6 (11), 1080-1087, 2014 | 33 | 2014 |
Genome-wide microRNA screening in Nile tilapia reveals pervasive isomiRs’ transcription, sex-biased arm switching and increasing complexity of expression throughout development D Pinhal, LA Bovolenta, S Moxon, AC Oliveira, PG Nachtigall, ML Acencio, ... Scientific Reports 8 (1), 8248, 2018 | 30 | 2018 |
Simulating highly diluted neural networks JJ Arenzon, N Lemke Journal of Physics A: Mathematical and General 27 (15), 5161, 1994 | 29 | 1994 |
Random walks in a closed space N Lemke, IA Campbell Physica A: Statistical Mechanics and its Applications 230 (3-4), 554-562, 1996 | 28 | 1996 |
MicrobioLink: an integrated computational pipeline to infer functional effects of microbiome–host interactions T Andrighetti, B Bohar, N Lemke, P Sudhakar, T Korcsmaros Cells 9 (5), 1278, 2020 | 27 | 2020 |