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2. A sequential Monte Carlo framework for haplotype inference in CNV/SNP genotype data
3. Attractor Metafeatures and Their Application in Biomolecular Data Analysis
4. Attractor Molecular Signatures and Their Applications for Prognostic Biomarkers
5. Bayesian estimation of scaled mutation rate under the coalescent: a sequential Monte Carlo approach
6. Bayesian Multiple-Instance Motif Discovery with BAMBI: Inference of Recombinase and Transcription Factor Binding Sites
7. Computational Analysis of Biomolecular Data for Medical Applications from Bulk to Single-cell
8. Extracting Three-Dimensional Orientation and Tractography of Myofibers Using Optical Coherence Tomography
9. Fast and accurate haplotype frequency estimation for large haplotype vectors from pooled DNA data
10. Gene Prediction Using Multinomial Probit Regression with Bayesian Gene Selection
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