Ney Lemke
Ney Lemke
Professor of Physics and Biophysics, IBB, Unesp
Verified email at - Homepage
Cited by
Cited by
HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions
LA Bovolenta, ML Acencio, N Lemke
BMC genomics 13 (1), 1-10, 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), 1-18, 2009
Essentiality and damage in metabolic networks
N Lemke, F Herédia, CK Barcellos, AN Dos Reis, JCM Mombach
Bioinformatics 20 (1), 115-119, 2004
A mean-field theory of cellular growth
JCM Mombach, N Lemke, BEJ Bodmann, MAP Idiart
EPL (Europhysics Letters) 59 (6), 923, 2002
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
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
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 (5), 1-15, 2010
Topography-specific spindle frequency changes in obstructive sleep apnea
SV Schönwald, DZ Carvalho, EL de Santa-Helena, N Lemke, ...
BMC neuroscience 13 (1), 1-12, 2012
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
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
Loss of sleep spindle frequency deceleration in obstructive sleep apnea
DZ Carvalho, GJL Gerhardt, G Dellagustin, L Emerson, N Lemke, ...
Clinical Neurophysiology 125 (2), 306-312, 2014
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
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
Random walks in a closed space
N Lemke, IA Campbell
Physica A: Statistical Mechanics and its Applications 230 (3-4), 554-562, 1996
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
Two-dimensional ising spin glasses with nonzero ordering temperatures
N Lemke, IA Campbell
Physical review letters 76 (24), 4616, 1996
Network clustering coefficient approach to DNA sequence analysis
GJL Gerhardt, N Lemke, G Corso
Chaos, Solitons & Fractals 28 (4), 1037-1045, 2006
Simulating highly diluted neural networks
JJ Arenzon, N Lemke
Journal of Physics A: Mathematical and General 27 (15), 5161, 1994
PLA 2-like proteins myotoxic mechanism: a dynamic model description
RJ Borges, N Lemke, MRM Fontes
Scientific reports 7 (1), 1-12, 2017
Bioinformatics analysis of mycoplasma metabolism: Important enzymes, metabolic similarities, and redundancy
JCM Mombach, N Lemke, NM da Silva, RA Ferreira, E Isaia, CK Barcellos
Computers in biology and medicine 36 (5), 542-552, 2006
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