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Lukas Folkman
Lukas Folkman
Research Fellow, Griffith University
Verified email at griffith.edu.au - Homepage
Title
Cited by
Cited by
Year
EASE-MM: sequence-based prediction of mutation-induced stability changes with feature-based multiple models
L Folkman, B Stantic, A Sattar, Y Zhou
Journal of molecular biology 428 (6), 1394-1405, 2016
1192016
Neighbor-based intrusion detection for wireless sensor networks
A Stetsko, L Folkman, V Matyáš
2010 6th International Conference on Wireless and Mobile Communications, 420-425, 2010
104*2010
Circadian rhythm influences induction of trained immunity by BCG vaccination
LCJ de Bree, VP Mourits, VACM Koeken, SJ Moorlag, R Janssen, ...
The Journal of clinical investigation 130 (10), 5603-5617, 2020
1022020
DDIG-in: detecting disease-causing genetic variations due to frameshifting indels and nonsense mutations employing sequence and structural properties at nucleotide and protein …
L Folkman, Y Yang, Z Li, B Stantic, A Sattar, M Mort, DN Cooper, Y Liu, ...
Bioinformatics 31 (10), 1599-1606, 2015
642015
Kernelized rank learning for personalized drug recommendation
X He, L Folkman, K Borgwardt
Bioinformatics 34 (16), 2808–2816, 2018
592018
Investigating DNA‐, RNA‐, and protein‐based features as a means to discriminate pathogenic synonymous variants
M Livingstone, L Folkman, Y Yang, P Zhang, M Mort, DN Cooper, Y Liu, ...
Human mutation 38 (10), 1336-1347, 2017
442017
Feature-based multiple models improve classification of mutation-induced stability changes
L Folkman, B Stantic, A Sattar
BMC genomics 15, 1-11, 2014
212014
Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge
C Savojardo, M Petrosino, G Babbi, S Bovo, C Corbi‐Verge, R Casadio, ...
Human mutation 40 (9), 1392-1399, 2019
192019
Sequence-only evolutionary and predicted structural features for the prediction of stability changes in protein mutants
L Folkman, B Stantic, A Sattar
BMC bioinformatics 14, 1-9, 2013
182013
Assessment of methods for predicting the effects of PTEN and TPMT protein variants
V Pejaver, G Babbi, R Casadio, L Folkman, P Katsonis, K Kundu, ...
Human mutation 40 (9), 1495-1506, 2019
172019
Towards sequence-based prediction of mutation-induced stability changes in unseen non-homologous proteins
L Folkman, B Stantic, A Sattar
BMC genomics 15, 1-12, 2014
162014
Assessment of predicted enzymatic activity of α‐N‐acetylglucosaminidase variants of unknown significance for CAGI 2016
WT Clark, L Kasak, C Bakolitsa, Z Hu, G Andreoletti, G Babbi, Y Bromberg, ...
Human mutation 40 (9), 1519-1529, 2019
142019
The use of a power analysis for influencing PIN verification on cryptographic smart card
L Folkman
Bakalásk práce, Masarykova univerzita, Fakulta informatiky, 2007
52007
Multi-omics analysis of innate and adaptive responses to BCG vaccination reveals epigenetic cell states that predict trained immunity
SJ Moorlag, L Folkman, R Ter Horst, T Krausgruber, D Barreca, ...
Immunity 57 (1), 171-187. e14, 2024
22024
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
N Null, S Jain, C Bakolitsa, SE Brenner, P Radivojac, J Moult, S Repo, ...
Genome Biology 25 (1), 1-46, 2024
12024
Web-based bioinformatics predictors: Recommendations to assess lysosomal cholesterol trafficking diseases-related genes
LL de Frutos, JJ Cebolla, P Irún, R Köhler, P Giraldo
Methods of Information in Medicine 58 (01), 050-059, 2019
12019
Generic parallel genetic algorithm framework for protein optimisation
L Folkman, W Pullan, B Stantic
Algorithms and Architectures for Parallel Processing: 11th International …, 2011
12011
Critical assessment of genome interpretation consortium. CAGI, the critical assessment of genome interpretation, establishes progress and pprospects for computational genetic …
S Jain, C Bakolitsa, EB Steven, P Radivojac, J Moult, S Repo, AH Roger, ...
Genome Biology 22 (22; 25 (1): 53.), 1-46, 2024
2024
Predicting Stability and Functional Changes Induced by Protein Mutations with a Machine Learning Approach
L Folkman
2014
SNP-SIG 2013: the state of the art of genomic variant interpretation
C Yates, L Folkman, M Kircher
2014
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Articles 1–20