Join us on Thursday, August 8th at 10:00 AM ET for a virtual symposium featuring the Ma’ayan Laboratory’s undergraduate trainees in the 2024 Summer Research Training Program in Biomedical Big Data Science. This nationally acclaimed summer program for undergraduate students is a ten-week research intensive training program. The trainees in the program carry out cutting-edge research projects aimed at solving data-intensive biomedical problems with computational methods. The faculty-mentored independent research projects are in the following areas: data harmonization, machine learning, cloud computing, and dynamic interactive data visualization, and are applied to datasets from cancer, diabetes, and aging.
Please register in advance for this virtual symposium. After registering, you will receive a confirmation email containing information about joining the Zoom webinar.
Agenda
10:00 AM ET
Opening Remarks (Heesu Kim)
10:05 AM ET
Benchmarking Methods to Rank LINCS L1000 Consensus Signatures (Kareena Legare)
10:15 AM ET
Knowledge Graph User Interfaces for Harmonizome and the CFDE Biomarker Partnership (Nathania Lingam)
10:25 AM ET
scRNAseq2Targets: a scRNA-seq Data Analysis Workflow with a Focus on Identifying Drugs and Targets when Comparing Two Conditions (Bilal Ali)
10:35 AM ET
RummagenexRummaGEO: Crossing the Rummagene and RummaGEO Gene Sets for Novel Hypotheses Generation (Eugenia Ampofo)
10:45 AM ET
Gene-gauging: An Engaging Search Engine for Gene Expression across Different Ages (Tejal Nair)
10:55 AM ET
A CFDE Workbench Chatbot for Discovering Knowledge from NIH Common Fund Programs (Lucas Sasaya)
11:05 AM ET
Geneshorts: Automatically Generated Short Videos about Human Genes Based on Knowledge Extracted from Common Fund Programs’ Datasets (Eric Lee)
11:15 AM ET
Imputing Missing Values for scRNA-seq with the ARCHS4 Expression Atlas (Sophie Gideon)
11:25 AM ET
Human and Mouse Transcriptional Regulatory Network Inferred from Applying ChEA3 to RummaGEO (Andrew Chung)
11:35 AM ET
Benchmarking GeneSetFormer: A Foundation Model for Gene Sets (Andrew Stein)
11:45 AM ET
Closing Remarks (Avi Ma’ayan PhD)
