Poster Sessions
Poster Session 1
Friday, Sep 13th, 8pm-9pm
- Odd number posters will be presented.
Poster Session 2
Saturday, Sep 14th, 5:30pm-6:30pm
- Even number posers will be presented.
1
Iyer, Gayatri
A Novel Approach to Data-Driven Differential Network Analysis with Limited Sample Size in High-Throughput Metabolomics and Lipidomics Data
2
Zhao, Nanxiang
A Signal Processing Approach to Interrogate Human Positive Regulatory Elements at Nucleotide Resolution.
3
Alge, Olivia
Application of machine learning in tumor classification, and development of a tensor-based classification method
4
Farzaneh, Negar
Automated Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries: A Machine Learning Approach
5
Hu, Kevin
Building a framework to molecularly characterize mouse models in cancer
6
Nguyen, Vy
Characterization of Linear and Non-Linear Associations between Mortality and Physiological Indictors
7
Habra, Hani
Combiner: An R Package for Matching Metabolite Features Across Experiments
8
Wolford, Brooke
Complex disease risk prediction informed by family history in population biobanks
9
Zhang, Xi
CRI-TASSER: De Novo Approach for High-resolution Protein Structure Determination with Cryo-EM Density Map
10
Duda, Marlena
Data-driven approaches for detecting connectivity dynamics in fMRI time series
11
Zhang, Hanrui
Decoding Voice for Diagnosing Parkinson's Disease by Deep Learning
12
Zheng, Wei
Deep-learning contact-map guided protein structure prediction by C-I-TASSER
13
Weber, Alexandra
Detecting short tandem repeats genome wide
14
Zhang, Chengxin
D-QUARK: residue-residue distance based de novo protein structure prediction
15
Lapp, Zena
Drivers of carbapenem-resistant Klebsiella pneumoniae transmission within and between regional healthcare facilities
16
Joslyn, Louis
Evaluating the T cell response of Tuberculosis vaccines using a pseudo-host computational model
17
Li, Hongyang
Accurate Imputation of Biochemical Signature in Human Genome
18
Zhou, Manqi
Identification of genome-wide transcription factor binding site co-occurrence
19
Orchard, Peter
Integration of skeletal muscle single-nuclei ATAC-seq and RNA-seq to map cell-type-specific transcriptomes and epigenomes and determine cell types’ contribution to T2D susceptibility
20
Xiao, Yao
Performance of Fastclone in solving tumor heterogeneity problem
21
Liu, Xuanting
Pine nut (P. koraiensis) genomic mining for key fatty acid metabolic enzymes
22
Dong, Shengcheng
Prediction of regulatory SNPs affecting transcription factor binding using RegulomeDB
23
Geiszler, Daniel
PTM-Shepherd for Open Search Analysis
24
Zhang, Biao
refinemental of the predicred structure using cryo-EM
25
Rai, Vivek
Single-nucleus ATAC-seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures
26
Bugbee, Joshua
Spatial Pyramid Pooling and Deep Learning Performance Metrics
27
Millar, Jess
The effects of Mycobacterium tuberculosis on T cell responsiveness in granulomas.
28
D'Oliveira Albanus, Ricardo
The information landscape of human transcription factor and DNA interactions
29
Bell, Eric
Whole-genome protein-protein interaction prediction and functional annotation through structural homology, interchain correlation, and high-throughput data
30
Crone, Brad
Developing an improved polygenic risk and personalized disease risk score
31
Guan, Li
Genetic regulation of messenger RNA and microRNA in human skeletal muscle and subcutaneous adipose tissues and their relationship to type 2 diabetes
32
Wei, Xiaoqiong
Correcting Gene Ontology Misannotations by Taxon-specific Rate Ratio Test