ORAL PRESENTATIONS SCHEDULE
Links within this page*: DREAM Schedule | RSG Schedule | Poster Schedules
*Proposed Programs. Agendas subject to change.
Talk Abstracts are available on the App
Programme PDF is available Here
DREAM Schedule |
||
| Monday - Day 1 – November 4, 2019 |
||
| Go directly to: Tuesday, Nov 5 - Wednesday, Nov 6 | ||
| START TIME |
END TIME |
SESSION TYPE |
| REGISTRATION 8:00 am - 6:00 pm Location: RRL Lobby |
||
| All DREAM Day talks to occur in the RRL Auditorium | ||
| 8:40 am | 9:00 am | Welcome and Introductory Remarks - Pablo Meyer |
| 9:00 am | 9:40 am | Keynote - Christopher Mason |
| Challenge Updates |
||
| 9:40 am | 9:50 am | Gustavo Stolovitzky & Justin Guinney Dream Future |
| 9:50 am | 10:05 am | Justin Guinney Update on Challenges: Tumor Deconvolution and Electronic Healthcare Record DREAM Challenges |
| 10:05 am | 10:15 am | Jim Costello DREAM Rheumatoid Arthritis Challenge 2: Automated Scoring of Radiographic Joint Damage |
| 10:15 am | 10:30 am | Julio Saez Rodriguez Single Cell Proteomics DREAM Challenge |
| 10:30 am | 10:40 am | Pablo Meyer Allen Institute Cell Lineage Reconstruction DREAM Challenge |
| 10:40 am | 11:00 am | Coffee Break with Posters |
| Challenge 1 - Preterm Birth Prediction: Transcriptomics DREAM Challenge Chair: Jim Costello |
||
| 11:00 am | 11:30 am | Adi Tarca Preterm Birth Prediction: Transcriptomics Challenge Overview Talk |
| 11:30 am | 11:50 pm | Pataki Balint Armin Best Performer Talk I: Blood test with machine learning to estimate the age of a pregnancy |
| 11:50 pm | 12:10 pm | Ziyan Wang Best Performer Talk II: Improving the Prediction of gestational age by using kernel-based approaches to denoise the data |
| 12:10 pm | 2:10 pm | Lunch on Own |
| Challenge 2 - IDG-DREAM Drug-Kinase Binding Prediction Challenge Chair: Julio Saez Rodriguez |
||
| 2:10 pm | 2:40 pm | Robert Allaway IDG-DREAM Drug-Kinase Binding Prediction Challenge Overview Talk |
| 2:40 pm | 3:00 pm | Team QED: Fangping Wan Best Performer Talk I: An ensemble learning based approach for the IDG-DREAM Drug-Kinase Binding Prediction Challenge |
| 3:00 pm | 3:20 pm | Team DMIS-DK: Sungjoon Park Best Performer Talk II: In Silico Molecular Binding Affinity Prediction with Multi-Task Graph Neural Networks |
| 3:20 pm | 3:40 pm | Team Aiwinteriscoming: Olexandr Isayev Best Performer Talk III: IDG-DREAM Drug-Kinase Binding Prediction Challenge: Subchallenge 2 winner team “AI Winter is Coming” solution |
| 3:40 pm | 4:20 pm | Coffee Break with Posters |
| 4:20 pm | 5:00 pm | Keynote - Chris Wiggins |
| Challenge 3 - Malaria DREAM Challenge Chair: Pablo Meyer |
||
| 5:00 pm | 5:30 pm | Geoffrey Siwo Malaria Challenge Overview Talk |
| 5:30 pm | 5:50 pm | Slim Fourati Best Performer Talk I: Predict the Artemisinin IC50 of malaria isolates using gene co-expression network analysis |
| 5:50 pm | 6:10 pm | Yoon Sanghoo Best Performer Talk II: Prediction of the Artemisinin IC50 of Malaria Isolate using in Vitro the Transcirptomics Data |
| 6:10 pm | 6:30 pm | Jiantao Guo Best Performer Talk III: Predict the resistance status of malaria isolates |
| 6:30 pm | 8:00 pm | DREAM Reception and Posters Location: Rooms 104 |
RSG Schedule |
||
| Tuesday – Day 2 – November 5, 2019 |
||
| Go directly to: Monday, Nov 4 (DREAM) – Wednesday, Nov 6 | ||
| START TIME |
END TIME |
SESSION TYPE |
| REGISTRATION 8:00 am - 5:00 pm Location: RRL Lobby |
||
| All RSG Day talks to occur in RRL Auditorium | ||
| 9:00 am | 9:15 am | Welcome |
| Special Session on Cancer Systems Biology Chair: Christina Leslie |
||
| 9:15 am | 10:00 am | Keynote - Sohrab Shah |
| 10:00 am | 10:15 am | Gurnit Atwal A deep learning system can accurately classify primary and metastatic cancers based on patterns of passenger mutations |
| 10:15 am | 10:30 am | Chloe B. Steen Landscape of Tumor Cell States and Cellular Ecosystems in Lymphoma |
| 10:30 am | 11:00 am | Coffee Break with Posters Location: RRL Lobby |
| Session 1 Chair: Christina Leslie |
||
| 11:00 am | 11:30 pm | New Investigator Spotlight Speaker - Elham Azizi |
| 11:30 pm | 11:45 pm | Anchal Sharma A computational genomic approach identifies that non-genetic heterogeneity is a major driver of phenotypic heterogeneity and evolutionary dynamics in non-small cell lung cancer |
| 11:45 pm | 12:00 pm | Hamed Najafabadi Domain-resolution maps of in vivo DNA binding reveal the molecular phenotypes associated with somatic mutations in zinc finger transcription factors |
| 12:00 pm | 12:15 pm | Bogdan Luca Atlas of clinically-distinct cell states and cellular ecosystems across human solid tumors |
| 12:15 pm | 1:00 pm | Keynote - Anshul Kundaje |
| 12:45 pm | 2:30 pm | Lunch on Own |
| Session 2 Chair: Sushmita Roy |
||
| 2:30 pm | 2:45 pm | Yuning Zhang Competition for DNA binding between paralogous transcription factors determines their genomic occupancy and regulatory functions |
| 2:45 pm | 3:00 pm | Yiming Kang TF binding locations and TF perturbation responses: The search for convergent evidence |
| 3:00 pm | 3:15 pm | Shaun Mahony Characterizing the sequence and chromatin predeterminants of induced transcription factor binding with bimodal neural networks |
| 3:15 pm | 3:30 pm | Eva Prakash Suggested best practices for interpreting deep learning models of regulatory DNA |
| 3:30 pm | 4:00 pm | Coffee Break with Posters Location: RRL Lobby |
| Session 3 Chair: Anthony Gitter |
||
| 4:00 pm | 4:15 pm | Yuri Pritykin A unified chromatin state and single-cell gene expression analysis defines a common differentiation trajectory towards T cell exhaustion |
| 4:15 pm | 4:30 pm | Chenyang Dong INFIMA Leverages Multi-Omic Model Organism Data to Identify Target Genes for Human GWAS Variants |
| 4:30 pm | 4:45 pm | Sneha Mitra RoboCOP: Multivariate state space model integrating epigenomic accessibility data to elucidate genome-wide chromatin occupancy |
| 4:45 pm | 5:30 pm | Keynote - Rich Bonneau Structure-Based Function Prediction using Graph Convolutional Networks |
| 5:30 pm | 7:00 pm | Reception with Poster viewing Location: Rooms 104 & 116 |
| - top - | ||
| Wednesday – Day 3 – November 6, 2019 |
||
| Go directly to: Monday, Nov 4 (DREAM) – Tuesday, Nov 5 | ||
| START TIME |
END TIME |
SESSION TYPE |
| REGISTRATION 8:00 am - 5:00 pm Location: RRL Lobby |
||
| All RSG Day talks to occur in RRL Auditorium | ||
| 9:00 am | 9:15 am | Welcome |
| Session 4 Chair: Shaun Mahony |
||
| 9:15 am | 10:00 am | Keynote - Elodie Ghedin |
| 10:00 am | 10:15 am | Anthony Findley Context-specific genetic regulation of gene expression across cell types and treatments |
| 10:15 am | 10:30 am | Ralf Herwig Network integration and modelling of dynamic drug responses at multi-omics levels |
| 10:30 am | 10:45 am | George Rosenberger Inference of functional protein attributes from protein correlation profiles for the multi-omic elucidation of molecular mechanisms |
| 10:45 am | 11:15 am | Coffee Break with Posters Location: RRL Lobby |
| Session 5 Chair: Rich Bonneau |
||
| 11:15 am | 11:30 am | Shiqi Xie Global analysis of enhancer targets reveals convergent enhancer-driven regulatory modules |
| 11:30 am | 11:45 am | Hatice Osmanbeyoglu Integrative computational framework for linking signaling and transcriptional programs in single cells |
| 11:45 am | 12:00 pm | Nelson Johansen Combining deep single cell atlases and case-control bulk RNA studies to identify cell type-specific signatures of disease using deep learning |
| 12:00 pm | 12:45 pm | Keynote - Joakim Lundeberg Exploring data driven analysis of spatially resolved transcriptomes in situ and in single cells |
| 12:45 pm | 2:00 pm | Lunch on Own |
| Session 6 Chair: jian Ma |
||
| 2:00 pm | 2:45 pm | Keynote - Peng Yin |
| 2:45 pm | 3:00 pm | Anders Rasmussen CRISPR-decryptr: A Bayesian Pipeline for the Analysis of CRISPR Screens |
| 3:00 pm | 3:15 pm | Cynthia Kalita A powerful method to estimate cell-type specific QTLs from bulk expression by leveraging allelic imbalance |
| 3:15 pm | 4:00 pm | Coffee Break with Posters Location: RRL Lobby |
| Session 7 Chair: Itai Yanai |
||
| 4:00 pm | 4:15 pm | Xi Chen Tissue-specific enhancer functional networks for associating distal regulatory regions to disease |
| 4:15 pm | 4:30 pm | Austin Wang Allele-Specific QTL Fine-Mapping with PLASMA |
| 4:30 pm | 4:45 pm | Brittany Baur Leveraging Public Epigenomic Datasets to Examine the Role of Regulatory Variation in the Three-dimensional Organization of the Genome |
| 4:45 pm | 5:30 pm | Keynote - Alexis Battle |
| 5:30 pm | 7:00 pm | Reception with poster viewing Location: Room 104 & 116 |