Naïve Bayes for microRNA target predictions—machine learning for microRNA targets M Yousef, S Jung, AV Kossenkov, LC Showe, MK Showe Bioinformatics 23 (22), 2987-2992, 2007 | 195 | 2007 |
Biomolecular modeling and simulation: a field coming of age T Schlick, R Collepardo-Guevara, LA Halvorsen, S Jung, X Xiao Quarterly reviews of biophysics 44 (2), 191-228, 2011 | 191 | 2011 |
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data M Yousef, S Jung, LC Showe, MK Showe BMC bioinformatics 8, 1-12, 2007 | 139 | 2007 |
Learning from positive examples when the negative class is undetermined-microRNA gene identification M Yousef, S Jung, LC Showe, MK Showe Algorithms for molecular biology 3, 1-9, 2008 | 95 | 2008 |
Graph-based sampling for approximating global helical topologies of RNA N Kim, C Laing, S Elmetwaly, S Jung, J Curuksu, T Schlick Proceedings of the National Academy of Sciences 111 (11), 4079-4084, 2014 | 70 | 2014 |
Tertiary motifs revealed in analyses of higher-order RNA junctions C Laing, S Jung, A Iqbal, T Schlick Journal of molecular biology 393 (1), 67-82, 2009 | 70 | 2009 |
Development of bioinformatics infrastructure for genomics research NJ Mulder, E Adebiyi, M Adebiyi, S Adeyemi, A Ahmed, R Ahmed, ... Global heart 12 (2), 91-98, 2017 | 69 | 2017 |
Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer HJ Jin, S Jung, AR DebRoy, RV Davuluri Oncotarget 7 (34), 54616, 2016 | 64 | 2016 |
Reproducible big data science: A case study in continuous FAIRness R Madduri, K Chard, M D’Arcy, SC Jung, A Rodriguez, D Sulakhe, ... PloS one 14 (4), e0213013, 2019 | 56 | 2019 |
Predicting helical topologies in RNA junctions as tree graphs C Laing, S Jung, N Kim, S Elmetwaly, M Zahran, T Schlick PloS one 8 (8), e71947, 2013 | 48 | 2013 |
Atlas of transcription factor binding sites from ENCODE DNase hypersensitivity data across 27 tissue types CC Funk, AM Casella, S Jung, MA Richards, A Rodriguez, P Shannon, ... Cell reports 32 (7), 2020 | 34 | 2020 |
Candidate RNA structures for domain 3 of the foot-and-mouth-disease virus internal ribosome entry site S Jung, T Schlick Nucleic Acids Research 41 (3), 1483-1495, 2012 | 31 | 2012 |
Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes AD Skol, SC Jung, AM Sokovic, S Chen, S Fazal, O Sosina, PP Borkar, ... Elife 9, e59980, 2020 | 28 | 2020 |
A novel MERTK mutation causing retinitis pigmentosa H Al-Khersan, KP Shah, SC Jung, A Rodriguez, RK Madduri, MA Grassi Graefe's Archive for Clinical and Experimental Ophthalmology 255, 1613-1619, 2017 | 28 | 2017 |
Identification of genetic and epigenetic variants associated with breast cancer prognosis by integrative bioinformatics analysis A Shilpi, Y Bi, S Jung, SK Patra, RV Davuluri Cancer informatics 16, CIN. S39783, 2017 | 23 | 2017 |
Evaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtyping S Jung, Y Bi, RV Davuluri BMC genomics 16, 1-10, 2015 | 21 | 2015 |
Genetic deletion of Sphk2 confers protection against Pseudomonas aeruginosa mediated differential expression of genes related to virulent infection and … DL Ebenezer, P Fu, Y Krishnan, M Maienschein-Cline, H Hu, S Jung, ... BMC genomics 20, 1-19, 2019 | 16 | 2019 |
Interconversion between parallel and antiparallel conformations of a 4H RNA junction in domain 3 of foot-and-mouth disease virus IRES captured by dynamics simulations S Jung, T Schlick Biophysical journal 106 (2), 447-458, 2014 | 11 | 2014 |
Actionable fusions detected by RNA-seq co-occur with PD-L1 expression and driver mutations in solid tumors patients M Shin, P Petersen, S Lau-Rivera, S Jung, S Agersborg, J Hechtman, ... Prostate 5, 4, 2022 | 1 | 2022 |
Identification of candidate regulatory SNPs by integrative analysis for prostate cancer genome data S Jung, H Jin, RV Davuluri Proceedings of the 6th ACM Conference on Bioinformatics, Computational …, 2015 | 1 | 2015 |