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If you are in the Odd Number Session, you may set up your poster any time between 8:30 am and Noon on Tuesday and must remove your poster by 8pm on Tuesday. All remaining posters will be discarded.
Poster Display Size: When preparing accepted posters please note that your poster should not exceed the following dimensions: 46 inches wide by 45 inches high. There will be 2 posters per side on the each poster board.
As of October 8, 2019. Subject to change without notice.
Go directly to: RSG Posters
Pratheepa Jeganathan, Anne-maud Ferreira, Jathushan Rajasegaran, Susan Holmes
Predicting Gestational Age Using Transcriptomic data
HaoYang Zhang, Hanhui Li, Mingpeng Zhao, Yuedong Yang
A fusion model to predict gestational age prediction by integrating blood gene expression data
Harpreet Kaur, Sumeet Patiyal, Anjali Dhall, Neelam Sharma, Gajendra Raghava
Preterm Birth prediction from the Gene-expression profiles of Pregnant Women using Machine Learning Techniques
Hyelim Jung, Dawoon Leem, Hyungyu Lee, Woong Jeong, Junyoung Park, Bogyu Park
Ensemble Regression Method for Prediction Gestational Age
Houriiyah Tegally, Malawi Kiran Anmol, Shakuntala Baichoo
Using computational modelling to predict Artemisinin drug resistance from Plasmodium transcriptomics data for improved malaria therapeutics
Nicola Lawford, Jonathan Chan, Narumol Noungpan, Worrawat Engchuan
Functional Pathway-Based Feature Transformation of \textit{P. falciparum} Gene Expression Data for Artemisinin Resistance Prediction
Monica Gomez Orozco, Jahir Guitierrez Bugarin
Kernel Ridge Regression and Voting XGBoost Models for Prediction of Artemisin Resistance in P. falciparium parasites
Ensemble Machine Learning Modeling for the Prediction of Artemisinin Resistance in Malaria
Jovan Tanevski, Thin Nguyen, Buu Truong, Nikos Karaiskos, Mehmet Eren Ahsen, Xinyu Zhang, Chang Shu, Ke Xu, Xiaoyu Liang, Ying Hu, Hoang V.V. Pham, Li Xiaomei, Thuc D. Le, Adi L. Tarca, Gaurav Bhatti, Roberto Romero, Nestoras Karathanasis, Phillipe Loher, Yang Chen, Zhengqing Ouyang, Disheng Mao, Yuping Zhang, Maryam Zand, Jianhua Ruan, Christoph Hafemeister, Peng Qiu, Duc Tran, Thin Nguyen, Attila Gabor, Thomas Yu, Enrico Glaab, Roland Krause, Peter Banda, Dream Sctc Consortium, Gustavo Stolovitzky, Nikolaus Rajewsky, Julio Saez-Rodriguez and Pablo Meyer
Predicting cellular position in the Drosophila embryo from Single-Cell Transcriptomics data
Preterm Birth Prediction: Transcriptomics Challenge Overview Talk
Go directly to: DREAM Posters
Image processing on the brain: 3D printing MRI images for further observation
Jia-Ying Su, En-Yu Lai, Chun-Houh Chen and Yen-Tsung Huang
Visualization for high-dimensional mediation effects (HDMV) with application to (epi)genome-wide mediation
VARIATION OF THE 3D GENOME ARCHITECTURE IN CERVICAL CANCER DEVELOPMENT
Rania Hassan, Nourhan Abu-Shahba, Marwa Mahmoud, Ahmed M. H. Abdel-Fattah, Wael Zakaria and Mahmoud Elhefnawi
Co-regulatory Network of Oncosuppressor miRNAs and Transcription Factors for Pathology of Human Hepatic Cancer Stem Cells (HCSC)
Niels Nguedia Kaze, Wilfred Mbacham and Jean Paul Chedjou
CHARACTERIZATION OF 331G/A POLYMORPHISM OF RP GENE AND IDENTIFICATION OF VIRAL ONCOGENE HMTV VIRUS AS GENETIC MARKERS FOR THE IMPROVEMENT OF BREAST CANCER MANAGEMENT IN CAMEROON
Rohit Arora, Harry M. Burke and Ramy Arnaout
Immunological Diversity with Similarity
Qian Li, Hemang Parikh, Martha Butterworth, Åke Lernmark, William Hagopian, Marian Rewers, Jin-Xiong She, Jorma Toppari, Anette-G. Ziegler, Beena Akolkar, Oliver Fiehn, Sili Fan and Jeffrey Krischer
Longitudinal metabolome-wide signals prior to the appearance of pancreatic islet autoantibodies in children at genetic risk for type 1 diabetes: the TEDDY study
Eleonora Achrak, Jennifer Fred, Jessica Schulman
Unlocking the glow: characterize of bioluminescent genes in fireworm Odontosyllis enopla
VCFDataPy: A Software tool to analyze human genome variation data to discover chromosomal abnormalities in Autism and other genetic brain disorders.
Kiley Graim and Olga Troyanskaya
Time-series gene interaction networks of fetal brain development predict genetic drivers of neurodevelopmental disorders
Combined alignments of sequences and domains characterize unknown proteins with remotely related protein search PSISearch2D
Olaitan Awe, Angela Makolo, Segun Fatumo
Computational Genomic Analysis of Bacteriophages in Typhoidal Salmonella Sequences
Visualizing data within the context of human kinase, phosphatase, and transcription factor families
Amartya Singh, Hossein Khiabanian and Gyan Bhanot
Tunable biclustering algorithm for integrative analysis of tumor transcriptomic and epigenomic data
Bobbie-Jo Webb-Robertson, Lisa Bramer, Bryan Stanfill, Sarah Reehl, Ernesto Nakayasu, Thomas Metz, Brigitte Frohnert, Jill Norris, Randi Johnson, Stephen Rich and Marian Rewers
Discovery of Disparate Biological Features Predicting Islet Autoantibodies via Integrated Machine Learning Feature Selection
Avyay Varadarajan, Avanti Shrikumar and Anshul Kundaje
Using Deep Learning to Understand the Sequence Determinants of CTCF Binding from CUT&RUN data
Tarun Chiruvolu, Avanti Shrikumar, Daniel Kim and Anshul Kundaje
A Computational Dissection of Genome-Wide Transcription Factor Binding Sites Using Deep Learning Models of Chromatin Accessibility in Skin Differentiation
Nicole Kramer and Douglas Phanstiel
BentoBox.R: customizable plotting and arranging of genomic data sets using R grid Graphics
Kenny Ye Liang, Feng Bao, Yue Deng and Qionghai Dai
Fast and scalable identification of rare cell subpopulations from large-scale single-cell transcriptomics
Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory Goodall, Qi Long, Jiuyong Li and Thuc Duy Le
Methods for identifying single and group-based coding/non-coding cancer drivers
Joshua Wetzel, Mona Singh
Inferring DNA-binding specificities jointly across structurally similar proteins
Hannah Zhou, Avanti Shrikumar and Anshul Kundaje
A head-to-head benchmarking of reverse-complement-aware architectures for genomics
Chen Su, William Pastor and Amin Emad
An integrative approach for identification of lineage-relevant transcriptional regulatory networks in human embryogenesis
Jennifer Ferd, Trami Dang, Eleonora Achrak, Jessica Schulman, Konstantinos Krampis, Mande Holford
Developing a bioinformatics pipeline for characterizing venom peptides from terebrid snails
Eileen Li, Avanti Shrikumar, Georgi Marinov, Connor Horton, Polly Fordyce and Anshul Kundaje
Training and interpreting a deep learning model to understand the fine-grained sequence determinants of Pho4 binding from high-resolution PB-exo data
Joonas Tuominen, Ebrahim Afyounian, Francesco Tabaro, Tomi Häkkinen, Anastasia Shcherban, Matti Annala, Riikka Nurminen, Kati Kivinummi, Teuvo Tammela, Alfonso Urbanucci, Leena Latonen, Juha Kesseli, Kirsi Granberg, Tapio Visakorpi and Matti Nykter
Chromatin accessibility in human prostate cancer progression
Sungjoon Park, Minji Jeon, Sunkyu Kim, Junhyun Lee, Seongjun Yun, Bumsoo Kim, Buru Chang and Jaewoo Kang
In Silico Molecular Binding Affinity Prediction with Multi-Task Graph Neural Networks
Chris Jackson, David Gresham and Richard Bonneau
Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments
Christopher Magnano and Anthony Gitter
Automating parameter selection to avoid implausible biological pathway models
Emily Ackerman, Ericka Mochan and Jason Shoemaker
Mathematical Model of the Strain-Specific Immune Response to Influenza Virus
Anjun Ma, Cankun Wang, Yuzhou Chang and Qin Ma
Identification of cell-type-specific alternative regulons from single-cell RNA-Seq
Mervin Fansler, Gang Zhen and Christine Mayr
3’ UTR isoform usage is cell type-specific and switches during differentiation predominantly in genes without expression changes
Qian Zhu, Ruben Dries, Chee-Huat Linus Eng, Arpan Sarkar, Feng Bao, Rani George, Nico Pierson, Long Cai and Guo-Cheng Yuan
Giotto, a pipeline for integrative analysis and visualization of single-cell spatial transcriptomic data
Qian Zhu, Nan Liu, Stuart Orkin and Guo-Cheng Yuan
CUT&RUNTools: a flexible pipeline for CUT&RUN processing and footprint analysis
Gabrielle Perron and Hamed Shateri Najafabadi
A unified framework for comparing ratios in sequencing count data
Rachel Hovde, Gus Zeiner, Jay Danao, Charlotte Davis, Melissa Fardy, Nicole Grant, Dianna Lester-Zeiner, David Mai, Krista McNally, Michon Pinnix, Erin Riegler, Daniel Roche and Ben Wang
A new approach to arm T cell therapies with conditional, transgenic payload outputs
Merve Sahin, Mark Carty, Lee Zamparo and Christina Leslie
HiC-DC+: A Robust Statistical Tool to Detect Significant Interactions from Hi-C, HiChIP and CHiC data
Erik Ladewig, Eneda Toska and Maurizio Scaltriti
PI3K pathway mediated splicing defects in ER+ breast cancer.
Vincentius Martin, Farica Zhuang and Raluca Gordân
Cooperative binding of transcription factors to clusters of DNA binding sites
Joseph Wayman, Diep Nguyen, Peter DeWeirdt, Tareian Cazares, Bryan Bryson and Emily Miraldi
Gene regulatory network inference from single-cell RNA-seq uncovers transcriptional programs controlling human macrophages
Cynthia Ma and Michael R. Brent
Transcription Factor Activity Inference: Does it really work?
Osama Arshad, Vincent Danna, Vladislav Petyuk, Paul Piehowski, Tao Liu, Karin Rodland and Jason McDermott
An Integrative Analysis of Tumor Proteomic and Phosphoproteomic Profiles to Examine the Relationships Between Kinase Activity and Phosphorylation
Ziynet Nesibe Kesimoglu and Serdar Bozdag
Inferring competing endogenous RNA (ceRNA) interactions in cancer
Matthew Stone, Sunnie Grace McCalla, Viswesh Periyasamy, Alireza Fotuhi Siahpirani and Sushmita Roy
Benchmarking regulatory network inference algorithms for single-cell RNA-sequencing datasets
Joost Groot, Catherine Nezich, Eric Marshall, Anne Campbell, Patrick Cullen, Chao Sun and Warren Hirst
An RNA-Seq approach to translate gene and pathway impacts of cellular clearance activator TFEB for drug discovery in Parkinson’s Disease
Roger Pique-Regi, Roberto Romero, Adi Tarca, Edward Sendler, Yi Xu, Valeria Garcia-Flores, Yaozhu Leng, Francesca Luca, Sonia Hassan and Nardhy Gomez-Lopez
Single Cell Analysis of the Human Placenta Transcriptome in Parturition
Antonina Mitrofanova, Nusrat Epsi, Sukanya Panja and Sharon Pine
pathCHEMO: a generalizable computational framework to uncover molecular pathways of chemoresistance in lung adenocarcinoma
Justyna Resztak, Julong Wei, Peijun Wu, Shiquan Sun, Edward Sendler, Adnan Alazizi, Henriette Mair-Meijers, Allison Farrell, Richard Slatcher, Samuele Zilioli, Xiang Zhou, Francesca Luca and Roger Pique-Regi
Genetics of gene expression response in asthma at single cell resolution
Wei Zhang and Jiao Sun
Network-based Learning Methods to Explore the Role of Post-Transcriptional Regulation in Cancer
Irem Celen and Robert Kueffner
Gene and domain specific interpretation of missense variant pathogenicity prediction
Nidia E. BeltrÁn HernÁndez and Heriberto Manuel Rivera
The role of Voltage-Gated Ion Channels Subunits in Osteosarcoma Metastasis
Faiz Rizvi, Tariean Cazares, Iyer Balaji, Matt Weirauch, Leah Kottyan, Surya Prasath and Emily R. Miraldi
Using Deep Learning to Predict Cell Type-specific Chromatin Accessibility Based on Genotype Alone
Mariano I. Gabitto, Anders Rasmussen, Orly Wapinski, Kathryn Allaway, Nicholas Carriero, Gordon J. Fishell and Richard Bonneau
Characterizing chromatin landscape from aggregate and single-cell genomic assays using flexible duration modeling.
Lili Blumenberg, Vladislav Sviderskiy, Richard Possemato and Kelly Ruggles
Data-driven discovery of phosphorylation modules in cancer
Wojciech Rosikiewicz, Xiaowen Chen, Pilar M. Dominguez, Ari Melnick and Sheng Li
TET2 Deficiency Reprograms the Germinal Center B-cell Epigenome and Silences Genes Linked to Lymphomagenesis
Shu Wang, Manimozhi Manivannan, Saurabh Gulati, Sombeet Sahu, Dong Kim, Nianzhen Li and Nigel Beard
Using Machine Learning to Optimize Assays for Single-Cell Targeted DNA Sequencing
Yue Qiu, Tianhuan Lu, Hansaim Lim and Lei Xie
A Bayesian approach to accurate and robust signature detection on LINCS L1000 data
Saurabh V Laddha, Edaise M M da Silva, Kenneth Robzyk, Brian R Untch, Hua Ke, Natasha Rekhtman, John T Poirier, William D Travis, Laura H Tang and Chang S Chan