most citedDeep Neural Network Based Precursor microRNA Prediction on Eleven Species

5 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2017★ 3 cited

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…

q-bio.GN2017

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…

cs.AI2017★ 4 cited

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,…

q-bio.QM2017★ 5 cited

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…

q-bio.GN2017

Multi-Kernel LS-SVM Based Bio-Clinical Data Integration: Applications to Ovarian Cancer

Jaya Thomas, Lee Sael

The medical research facilitates to acquire a diverse type of data from the same individual for particular cancer. Recent studies show that utilizing such diverse data results in m…