Machine Learning in Computational Biology (MLCB) 2012
TechTalks from event: Machine Learning in Computational Biology (MLCB) 2012
- All Talks
- Opening Remarks
- Structured Domain Adaptation Across Imaging Modality: How 2D Data Helps 3D Inference
- Peptide Identification of Tandem Mass Spectra via Spectrum Alignment Using a Dynamic Bayesian Network
- Mining Representative Subgraphs by Substitution Matrices: An Application on Protein Structures
- Deep Architectures and Deep Learning for Protein Structure Prediction
- The Streaming Tree EM Algorithm with Applications to RNA-Seq
- SVM2Motif--Reconstructing Overlapping Sequence Motifs by Mimicking an SVM Predictor
- Efficient Sparse Method for RNA Isoforms Identification and Quantification from RNA-Seq Data with Network Flows
- Local Diffusion and Cluster Score (LDCS) for Disease Subtyping
- Mixed Forests: Non-Linear Feature Selection while Accounting for Confounding Factors
- PriorNet: A Flexible Pathway-Based Model o fGenetic Variation in Human Disease
- Modeling the Clonal Evolution of Cancer from Next Generation Sequencing Data
- Robust and Fast Linear Mixed Models for Confounder Correction in Genome-wide Association Studies