RECOMB Conference on Regulatory and Systems Genomics,
with Dream Challenges 2016

The full listing of talks can be found below.

**Not all presenters provided permission to make talks available.

Title Presenter
Boosted Tree Based Prediction of Drug Synergisms in the AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge. Tin Nguyen and Bence Szalai
A Double Spectral Approach To Disease Module Identification Jake Crawford & Lenore Cowen
Control and Damage Mitigation in Regulatory Networks Reka Albert
Protein-RNA Interactions & Function of Alternative 3' UTRs Chris Burge
Elucidating the role of the microenvironment in modulating cellular phenotypes Laura Heiser
Drug Synergy Prediction using High Performance Computing and Support Vector Regression MInji Jeon
Fake and True Names of Disease: Phenome and/or Genome? Isaac Kohane
The ENCODE-DREAM in vivo Transcription Factor Binding Site Prediction Challenge Anshul Kundaje
ChIPathlon: a community-wide assessment of ChIP-seq peak calling methods Istvan Ladunga
Preselection of training cell types improves prediction of transcription factor binding sites. Andrey Lando
The Disease Module Identification DREAM Challenge Daniel Marbach
Community analysis to predict therapeutic synergy within the AstraZeneca-Sanger Drug Combination Challenge Michael Menden
Systems approach to rational drug combinations Gordon B. Mills
A dynamical model for explaining heterogeneous macrophage activation by apparent quorum sensing Joseph Muldoon
Inferring molecular targets and mechanism of action from time course expression data Heeju Noh
Structural analysis of the compendium of RNA-binding proteins Yaron Orenstein
Systematic Planning of Genetic Crosses to Validate Mathematical Models Aditya Pratapa
Modeling heterogeneous cell populations using Boolean networks Brian Ross
Revisiting the relationship between DNA shape, base sequence, and transcription factor binding Hans Rube
Introduction to the DREAM11 Conference Gustavo Stolovitzky
A graph diffusion framework for multi-scale reproducibility and differential analysis of 3D chromatin contact maps Oana Ursu
Pathway-based approach to predict drug response of cancer cells Xuewei Wang
Scalable causal gene network inference from genetics of gene expression data Lingfei Wang
Expanding the ENCODE Encyclopedia: Applications for Annotating Non-coding Variants Zhiping Weng
An ultra-fast tumor heterogeneity inference method using density-based infinite mixture model Hongjiu Zhang
Subclonal reconstruction from tumor genomic variation data using a cascade ensemble model Kaiyi Zhu