Dimitrios Kleftogiannis
Dimitrios Kleftogiannis
Computational Biology Unit, UiB
Verified email at kaust.edu.sa - Homepage
Cited by
Cited by
DEEP: a general computational framework for predicting enhancers
D Kleftogiannis, P Kalnis, VB Bajic
Nucleic acids research 43 (1), e6-e6, 2015
DWFS: a wrapper feature selection tool based on a parallel genetic algorithm
O Soufan, D Kleftogiannis, P Kalnis, VB Bajic
PloS one 10 (2), e0117988, 2015
Progress and challenges in bioinformatics approaches for enhancer identification
D Kleftogiannis, P Kalnis, VB Bajic
Briefings in bioinformatics 17 (6), 967-979, 2016
Where we stand, where we are moving: Surveying computational techniques for identifying miRNA genes and uncovering their regulatory role
D Kleftogiannis, A Korfiati, K Theofilatos, S Likothanassis, A Tsakalidis, ...
Journal of biomedical informatics 46 (3), 563-573, 2013
DENdb: database of integrated human enhancers
H Ashoor, D Kleftogiannis, A Radovanovic, VB Bajic
Database 2015, 2015
Ultra-sensitive mutation detection and genome-wide DNA copy number reconstruction by error-corrected circulating tumor DNA sequencing
S Mansukhani, LJ Barber, D Kleftogiannis, SY Moorcraft, M Davidson, ...
Clinical chemistry 64 (11), 1626-1635, 2018
Comparing memory-efficient genome assemblers on stand-alone and cloud infrastructures
D Kleftogiannis, P Kalnis, VB Bajic
PloS one 8 (9), e75505, 2013
YamiPred: A novel evolutionary method for predicting pre-miRNAs and selecting relevant features
D Kleftogiannis, K Theofilatos, S Likothanassis, S Mavroudi
IEEE/ACM transactions on computational biology and bioinformatics 12 (5 …, 2015
Genome-wide plasma DNA methylation features of metastatic prostate cancer
A Wu, P Cremaschi, D Wetterskog, V Conteduca, GM Franceschini, ...
The Journal of clinical investigation 130 (4), 1991-2000, 2020
EnsembleGASVR: a novel ensemble method for classifying missense single nucleotide polymorphisms
T Rapakoulia, K Theofilatos, D Kleftogiannis, S Likothanasis, A Tsakalidis, ...
Bioinformatics 30 (16), 2324-2333, 2014
In Vivo Modeling of Chemoresistant Neuroblastoma Provides New Insights into Chemorefractory Disease and Metastasis
O Yogev, GS Almeida, KT Barker, SL George, C Kwok, J Campbell, ...
Cancer research 79 (20), 5382-5393, 2019
Predicting human miRNA target genes using a novel computational intelligent framework
A Korfiati, K Theofilatos, D Kleftogiannis, C Alexakos, S Likothanassis, ...
Information Sciences 294, 576-585, 2015
The Human Interactome Knowledge Base (HINT-KB): an integrative human protein interaction database enriched with predicted protein–protein interaction scores using a novel …
K Theofilatos, C Dimitrakopoulos, S Likothanassis, D Kleftogiannis, ...
Artificial Intelligence Review 42 (3), 427-443, 2014
ncRNA-Class web tool: non-coding RNA feature extraction and pre-miRNA classification web tool
D Kleftogiannis, K Theofilatos, S Papadimitriou, A Tsakalidis, ...
IFIP International Conference on Artificial Intelligence Applications and …, 2012
Identification of single nucleotide variants using position-specific error estimation in deep sequencing data
D Kleftogiannis, M Punta, A Jayaram, S Sandhu, SQ Wong, DG Tandefelt, ...
BMC Medical Genomics 12 (1), 1-12, 2019
Predicting human miRNA target genes using a novel evolutionary methodology
K Aigli, K Dimitris, T Konstantinos, L Spiros, T Athanasios, M Seferina
Hellenic Conference on Artificial Intelligence, 291-298, 2012
A novel pre-miRNA classification approach for the prediction of microRNA genes
KA Theofilatos, DA Kleftogiannis, MAV Rapsomaniki, VA Haidinis, ...
Proceedings of the 10th IEEE International Conference on Information …, 2010
Discriminative identification of transcriptional responses of promoters and enhancers after stimulus
D Kleftogiannis, P Kalnis, E Arner, VB Bajic
Nucleic acids research 45 (4), e25-e25, 2017
Hi-Jack: a novel computational framework for pathway-based inference of host–pathogen interactions
D Kleftogiannis, L Wong, JAC Archer, P Kalnis
Bioinformatics 31 (14), 2332-2339, 2015
A Common Approach for Consumer and Provider Fairness in Recommendations.
D Sacharidis, K Mouratidis, D Kleftogiannis
RecSys (Late-Breaking Results), 1-5, 2019
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