Sow S, van de Poll W, Eveleth R, Rich J, Ducklow H, Rozema P
Environ Microbiome. 2025; 20(1):21.
PMID: 39923087
PMC: 11807339.
DOI: 10.1186/s40793-025-00663-z.
Li A, Li M, Fei R, Mallik S, Hu B, Yu Y
Interdiscip Sci. 2024; 17(1):166-184.
PMID: 39578307
DOI: 10.1007/s12539-024-00667-2.
Lovelace T, Ryu M, Jia M, Castaldi P, Sciurba F, Hersh C
EClinicalMedicine. 2024; 75:102786.
PMID: 39263674
PMC: 11388367.
DOI: 10.1016/j.eclinm.2024.102786.
Groli E, Frascaroli E, Maccaferri M, Ammar K, Tuberosa R
Front Plant Sci. 2024; 15:1393349.
PMID: 39006958
PMC: 11239346.
DOI: 10.3389/fpls.2024.1393349.
Lv J, Pan C, Cai Y, Han X, Wang C, Ma J
Nat Commun. 2024; 15(1):5729.
PMID: 38977723
PMC: 11231153.
DOI: 10.1038/s41467-024-50125-2.
Comparing Causal Bayesian Networks Estimated from Data.
Ma S, Tourani R
Entropy (Basel). 2024; 26(3).
PMID: 38539740
PMC: 10969691.
DOI: 10.3390/e26030228.
Deep neural networks with knockoff features identify nonlinear causal relations and estimate effect sizes in complex biological systems.
Fan Z, Kernan K, Sriram A, Benos P, Canna S, Carcillo J
Gigascience. 2023; 12.
PMID: 37395630
PMC: 10316696.
DOI: 10.1093/gigascience/giad044.
Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression.
De Meyer S, Cruz D, De Swaef T, Lootens P, De Block J, Bird K
PLoS Comput Biol. 2023; 19(5):e1011161.
PMID: 37253069
PMC: 10256231.
DOI: 10.1371/journal.pcbi.1011161.
Plasma lipidome and risk of atrial fibrillation: results from the PREDIMED trial.
Toledo E, Wittenbecher C, Razquin C, Ruiz-Canela M, Clish C, Liang L
J Physiol Biochem. 2023; 79(2):355-364.
PMID: 37004634
PMC: 10300169.
DOI: 10.1007/s13105-023-00958-0.
DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks.
Shutta K, Weighill D, Burkholz R, Ben Guebila M, DeMeo D, Zacharias H
Nucleic Acids Res. 2022; 51(3):e15.
PMID: 36533448
PMC: 9943674.
DOI: 10.1093/nar/gkac1157.
Causal discovery for the microbiome.
Corander J, Hanage W, Pensar J
Lancet Microbe. 2022; 3(11):e881-e887.
PMID: 36152674
PMC: 9680137.
DOI: 10.1016/S2666-5247(22)00186-0.
A review of causal discovery methods for molecular network analysis.
Kelly J, Berzuini C, Keavney B, Tomaszewski M, Guo H
Mol Genet Genomic Med. 2022; 10(10):e2055.
PMID: 36087049
PMC: 9544222.
DOI: 10.1002/mgg3.2055.
A review on methods for predicting miRNA-mRNA regulatory modules.
Madhumita M, Paul S
J Integr Bioinform. 2022; 19(3).
PMID: 35357793
PMC: 9521823.
DOI: 10.1515/jib-2020-0048.
Multi-omics protein-coding units as massively parallel Bayesian networks: Empirical validation of causality structure.
Zenere A, Rundquist O, Gustafsson M, Altafini C
iScience. 2022; 25(4):104048.
PMID: 35355520
PMC: 8958332.
DOI: 10.1016/j.isci.2022.104048.
Dihydroceramide- and ceramide-profiling provides insights into human cardiometabolic disease etiology.
Wittenbecher C, Cuadrat R, Johnston L, Eichelmann F, Jager S, Kuxhaus O
Nat Commun. 2022; 13(1):936.
PMID: 35177612
PMC: 8854598.
DOI: 10.1038/s41467-022-28496-1.
Predicting miRNA targets for hepatocellular carcinoma with an integrated method.
Shi Y, Wen T, Xiao D, Dai L, Song J
Transl Cancer Res. 2022; 9(3):1752-1760.
PMID: 35117522
PMC: 8798414.
DOI: 10.21037/tcr.2020.02.46.
Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision.
Belthangady C, Stedden W, Norgeot B
BMC Med Res Methodol. 2021; 21(1):190.
PMID: 34544367
PMC: 8454087.
DOI: 10.1186/s12874-021-01383-x.
Illuminating lncRNA Function Through Target Prediction.
Chiu H, Somvanshi S, Chen T, Sumazin P
Methods Mol Biol. 2021; 2372:263-295.
PMID: 34417758
DOI: 10.1007/978-1-0716-1697-0_22.
An Ensemble Method to Predict Target Genes and Pathways in Uveal Melanoma.
Wei C, Wang L, Zhang H
Open Life Sci. 2021; 13:90-96.
PMID: 33817073
PMC: 7874707.
DOI: 10.1515/biol-2018-0013.
Lipid Profiles and Heart Failure Risk: Results From Two Prospective Studies.
Wittenbecher C, Eichelmann F, Toledo E, Guasch-Ferre M, Ruiz-Canela M, Li J
Circ Res. 2020; 128(3):309-320.
PMID: 33272114
PMC: 7864881.
DOI: 10.1161/CIRCRESAHA.120.317883.
