ACCEL Video Series

Beyond the Research Plan: Ignore the rest of the application at your own peril

The Professional Development Core presents Grant Writing 101 "Beyond the Research Plan: Ignore the rest of the application at your own peril."

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Formulating a Strong Research Plan

Grant Writing 101 is presented by the Professional Development Core and Melinda Duncan, PhD

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The Structure of the NIH and how to get advice from decision makers

Presented by the Junior Investigators Network and Melinda Duncan on 2/28/18

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Advanced Grant Writing-Grant Writing Tips and Use of Figures

Presented by the Professional Development Core and invited guest Michelle Stofa, Nemours Research Communications Manager

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Big Data to Knowledge: Integrated Bioinformatics towards Systems Biology and Precision Medicine

With the advent of next-generation sequencing (NGS) and other high-throughput omics technologies, systems integration is becoming the driving force for 21st century biology and medicine. To fully realize the value of such genome-scale data for knowledge discovery and disease understanding requires advanced bioinformatics for integration, mining, comparative analysis, and functional interpretation. We have developed a bioinformatics research infrastructure that integrates disparate databases and text mining tools in an ontological framework for automatic construction of knowledge networks and visual analysis of omics data. Our natural language processing (NLP) framework supports full-scale literature mining and generalizable relation extraction to connect gene/protein, mutation, miRNA to drug, disease and phenotype in personalized medicine context. This talk will highlight our collaborative projects with large-scale national initiatives, including the NIH LINCS-BD2K (Big Data to Knowledge) and TCGA/CPTAC cancer consortium projects to understand the impact of kinase inhibitor drugs on signaling pathways in cancer therapy.

Dr. Cathy Wu is the Edward G. Jefferson Chair and Director of the Center for Bioinformatics & Computational Biology (CBCB) at University of Delaware. She has conducted bioinformatics research for 25 years and has led/co-led several large multi-institutional Consortium grants, including the Delaware INBRE. She directs the Protein Information Resource (PIR), a member of the UniProt Consortium with 5 million pageviews per month from 500,000 sites worldwide. She has published 250 peer-reviewed papers and is recognized as a “Highly Cited Researcher” (top 1%). The CBCB provides cutting-edge bioinformatics infrastructure, including Big Data and clinical genomics analytics capabilities for precision medicine.

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Identifying Optimal Cut-Points for Continuous Predictors to Discriminate Disease Outcomes

Variables are often dichotomized for decision making in clinical practice and appropriate management of patients requires optimizing a cut-point to discriminate disease risk. If true cut-points for one or more variables exist, the challenge is identifying them. We examine dichotomization methods to identify which methods recover a true cut-point and present evidence that maximizing odds ratio, Youden's statistic, Gini Index, chi-square statistic, relative risk and kappa statistic theoretically recover a cut-point. Simulations evaluating these statistics for recovery of a cut-point indicate that the chi-square statistic and Gini Index have the smallest bias and variability. There are limited methods for simultaneously optimizing cut-points for more than 1 variable. We propose a method for jointly dichotomizing two or more variables and conduct simulations to compare joint and marginal dichotomization for the ability to recover the cut-points. Our results show that cut-points selected jointly exhibit smaller error and similar bias relative to marginal selection.

Dr. Wolf is an Assistant Professor of Biostatistics in the Department of Public Health Sciences at the Medical University of South Carolina (MUSC). She has a PhD in biostatistics from MUSC, a Master’s degree in environmental chemistry from UNC Wilmington, and a Bachelor’s degree in chemistry and anthropology from Rice University. Her statistics research interests focus on developing statistical methods for biomarker discovery and disease prediction modeling. Her translational interest focus on development of prediction models and diagnostic tools for rheumatic diseases and on examining the impact of environmental contaminants in the food chain of human populations.

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2017 Community Research Exchange Conference

Below please find the video recordings from the ACCEL Community Research Exchange Conference held on Monday, May 15, 2017 at the University of Delaware Clayton Hall Conference Center.

Part 3: Includes Afternoon Panel Discussion on Behavioral and Mental Health:

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2017 Community Research Exchange Conference

Below please find the video recordings from the ACCEL Community Research Exchange Conference held on Monday, May 15, 2017 at the University of Delaware Clayton Hall Conference Center.

Part 2: Includes Second Session of Oral Presentations, Secretary Kara Odom Walker comments:

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