12 citations · 46 across the 10 of their papers we have counts for
7 papers · 1 filter
SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis
Dongjin Choi, Lee Sael
Motivation: How do we integratively analyze large-scale multi-platform genomic data that are high dimensional and sparse? Furthermore, how can we incorporate prior knowledge, such…
Feature versus Raw Sequence: Deep Learning Comparative Study on Predicting Pre-miRNA
Jaya Thomas, Sonia Thomas, Lee Sael
Should we input known genome sequence features or input sequence itself in deep learning framework? As deep learning more popular in various applications, researchers often come to…
Prior Knowledge based mutation prioritization towards causal variant finding in rare disease
Vasundhara Dehiya, Jaya Thomas, Lee Sael
How do we determine the mutational effects in exome sequencing data with little or no statistical evidence? Can protein structural information fill in the gap of not having enough…
CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions
Jungwoo Lee, Dongjin Choi, Lee Sael
How can we find patterns and anomalies in a tensor, or multi-dimensional array, in an efficient and directly interpretable way? How can we do this in an online environment, where a…
Next Generation Business Intelligence and Analytics: A Survey
Quoc Duy Vo, Jaya Thomas, Shinyoung Cho +3
Business Intelligence and Analytics (BI&A) is the process of extracting and predicting business-critical insights from data. Traditional BI focused on data collection, extraction,…
Deep Neural Network Based Precursor microRNA Prediction on Eleven Species
Jaya Thomas, Lee Sael
MicroRNA (miRNA) are small non-coding RNAs that regulates the gene expression at the post-transcriptional level. Determining whether a sequence segment is miRNA is experimentally c…