Wednesday, January 13th, 2016 |
||
8:00am - 9:00am |
Complimentary Breakfast (Lobby) |
|
9:00am - 10:00am |
Keynote Speech by Dr. Robert Gentleman (Salon F) |
|
10:00am - 10:20am |
Coffee Break (Lobby) |
|
10:20am - 12:00pm |
Epigenome and RNA-seq Data Analysis (Salon F) |
Data Mining and Feature Extraction in Biomedical Applications (Salon G-J) |
Genome Reconstruction with ShRec3D+ and Hi-C Data |
A Semi-parametric Statistical Model for Integrating Gene Expression Profiles across Different Platforms |
|
A Full Bayesian Partition Model for Identifying Hypo- and Hyper-methylated Loci from Single Nucleotide Resolution Sequencing Data |
Weakly Supervised Learning of Biomedical Information Extraction from Curated Data |
|
A Tale of Two Gene Sets: Low and High Variability in Single Cell RNA-Seq Data |
hc-OTU: A Fast Homopolymer Compaction-Based Operation Taxonomic Unit Clustering Algorithm |
|
|
Medoidshift Clustering Applied to Genomic Bulk Tumor Data |
|
12:00pm -1:00pm |
Complimentary Lunch (Lobby) |
|
1:00pm -2:15pm |
Epigenome (Salon G-J) |
RNA-Seq Data Analysis (Salon F) |
Predicting Transcription Factor Site Occupancy using DNA Sequence Intrinsic and Cell-Type Specific Chromatin Features |
A Bayesian approach for estimating allele-specific expression from RNA-Seq data with diploid genomes |
|
Epigenome Overlap Measure (EpOM) for Comparing Tissue/Cell Types based on Chromatin States |
A Non-Negative Matrix Factorization based Preselection Procedure for More Accurate Isoform Discovery from RNA-Seq Data |
|
MOCCS: Clarifying DNA-binding Motif Ambiguity using ChIP-Seq Data |
RDDpred: A Condition-Specific RNA-Editing Prediction Model from RNA-Seq Data |
|
2:15pm -2:30pm |
Coffee Break (Lobby) |
|
2:30pm -3:30pm |
Keynote Speech by Dr. Wing Hung Wong (Salon F) |
|
3:30pm -4:00pm |
Closing Remarks, Award Ceremony and Raffle Drawing (See You Next Year!) |