Center for Biophysics and Quantitative Biology Master Calendar
71 matches found
-
From microbes to cancer, variability in gene expression can lead to nongenetic phenotypic heterogeneity. This heterogeneity is important in determining how populations of cells grow, survive fluctuating environments, and develop drug resistance. For example, individual yeast cells within isogenic populations show striking heterogeneity in stress tolerance. Though genetic f
-
IGB Special Seminar “Managing Foreign Influence.” David Richardson, Associate Vice Chancellor for Research; Kathy Gentry, Export Compliance Officer; Chyvonne Gibson, Deputy Export Compliance Officer; Sponsored Programs Administration, University of Illinois
-
This tutorial will teach how to gain access to the system, how to interact with the system through Open OnDemand interface, including Jupiter notebook, and through command line interface.
-
Incorporating diverse molecular and cellular signaling processes into integrated, organismic-scale models of brain function is a formidable challenge for modern neuroscience. Molecular functional magnetic resonance imaging (fMRI) is a new technology that can bridge the molecular and cellular precision with whole-brain coverage in intact living animals. Here I will present
-
BIOE Seminar - Dr. Joseph Culver - Developing Neurophotonics for Mapping Distributed Brain Functions
Diffuse optical tomography (DOT), is a technology that uses light from outside the head to track what the brain is doing. Optical imaging avoids the radiation exposure and bulky magnets other brain imaging technologies require. The approach is particularly useful for studying children and people with cochlear implants, pacemakers, deep brain stimulators and other implants
-
“The Neurogenomics, Inheritance and Evolution of Paternal Care” Alison Bell, PhD University of Illinois; Department of Evolution, Ecology and Behavior School of Integrative Biology; IGB Faculty, Gene Networks in Neural & Developmental Plasticity
-
This tutorial will cover basic machine learning techniques, such as Linear Regression, Decision Tree, Support Vector Machine, Naive Bayes, K- Nearest Neighbors, K-Means, and Random Forest, using TensorFlow on HAL system.
-
AgBiome leverages a vast collection of microbes to discover crop-protective products. We are continually refining the use of genomics to make our screening and discovery strategies more effective. We recently completed a discovery program for bacterial isolates with fungicidal activity against Colletotrichum, the causative agent of a devastating plant disease called Sorghu
-
"Practicing Interdisciplinary Teamwork" Jonathan Kramer, PhD Director for Interdisciplinary Science National Socio-Environmental Synthesis Center (SESYNC) University of Maryland
-
To produce adaptive behaviors, neurons must maintain robust intrinsic excitability. However, the genetic networks that enable intrinsic neuronal homeostasis remain mostly unknown. The Ben-Shahar lab explores the molecular processes that maintain neuronal robustness at different timescale by using the power of Drosophila neurogenetics.
-
This tutorial will introduce how machine learning can be accomplished with neural networks and will go over various examples from simple dense networks to convolutional network architectures using TensorFlow on HAL system.
-
Advancing diversity and inclusion have been persistent challenges in STEM. Consequently, there remains an urgent need for interventions addressing the needs of marginalized students as they progress through undergraduate degree programs. To support this effort, Dr. Walter Lee’s research focuses on better understanding the interventions (program, activities, and services)
-
“Mechanisms of Brain Tumor Evolution” Joseph Costello, PhD University of California, San Francisco; Professor, School of Medicine
-
This tutorial will introduce sequence models, such as RNN and LSTM, and how these models can be implemented with TensorFlow on HAL system.
