Accepted Posters
- Filtering STARR-Seq Peaks for Enhancers with Sequence Models: Ronald Nowling, Rafael Reple Geromel, Benjamin Halligan
- Prediction of Large for Gestational Age Infants in Overweight and Obese women at approximately 20 Gestational Weeks: Yuhan Du, John Mehegan, Fionnuala M McAuliffe, Catherine Mooney
- PeakMatcher: Matching Peaks Across Genome Assemblies: Ronald Nowling, Christopher Beal, Scott Emrich, Susanta Behura, Marc Halfon, Molly Duman-Scheel
- Using patient information for the prediction of caregiver burden in Amyotrophic Lateral Sclerosis: Anna Markella Antoniadi, Miriam Gavin, Mark Heverin, Orla Hardiman, Catherine Mooney
- A data-centric pipeline using convolutional neural network to select better multiple sequence alignment method: Mengmeng Kuang
- Towards CNN Representations for Small Mass Spectrometry Data Classification: Khawla Seddiki, Isabelle Fournier, Arnaud Droit, Frédéric Precioso
- A Unified Cloud-Native Architecture For Heterogeneous Data Aggregation And Computation: Fatemeh Rouzbeh, Ananth Grama, Paul Griffin, Mohammad Adibuzzaman
- Representing Cellular Lines with SVM and Text Processing: Ivan Carrera, Inês Dutra, Eduardo Tejera Puente
- Comparing Type 2 Diabetes Self-Management Apps Against the Needs of Low-Income Minority Patients:Is There An Implicit Functionality Bias?: Wayne Zachary, Hita Gupta
- Prefix/Suffix Variation in Retinoic Acid Response Elements: Yuan Zhuang, Kara Cerveny, Anna Ritz
- Graphery: a Biological Network Algorithm Tutorial Webservice: Heyuan Zeng, Anna Ritz
- A Protein-Protein Interactome for an African Cichlid: Gabriel Preising, Joshua Faber-Hammond, Suzy Renn, Anna Ritz
- Multi-omics Data Integration in the Cloud: Analysis of Statistically Significant Associations Between Clinical and Molecular Features in Breast Cancer: Kawther Abdilleh, Boris Aguilar, Ross Thomson
- Multi-omics characterization of Microtubule-actin cross linking factor 1 (MACF1) using the ISB-Cancer Genomics Cloud: Alexis McClary, Kawther Abdilleh, Boris Aguilar, Dondra Bailey
- Novel Generated Peptides for COVID-19 Targets: Allison Rossetto, Wenjin Zhou
- Refinement of G protein-coupled receptor structure models: Improving the prediction of loop conformations and the virtual ligand screening performances: Bhumika Arora
- Deep Neural Network Modeling for Phenotypic Prediction of Metagenomic Samples: Yassin Mreyoud, Tae Hyuk Ahn
- Learning the regulatory grammar of DNA for gene expression engineering: Jan Zrimec
- Beyond B-Cell Epitopes: Curating Positive Data on Antipeptide Paratope Binding to Support Development of Computational Tools for Vaccine Design and Other Translational Applications: Salvador Eugenio Caoili
- Multimodal Learning for Cardiovascular Risk Prediction using EHR Data: Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert Asselbergs, Daniel Oberski
- RA2Vec: Distributed Representation of Protein Sequences with Reduced Alphabet Embeddings: Rajitha Yasas Wijesekara, Ashwin Lahorkar, Kunal Rathore, Jayaraman Valadi
- FINDER1: an automated gene finder from multiple sources of data: Sagnik Banerjee, Priyanka Bhandary, Margaret Woodhouse, Roger Wise, Carson Andorf
Sponsors