We have designed and developed a data integration and visualization platform that provides
evidence about the association of known and potential drug targets with diseases. The …

Single-cell RNA-sequencing (scRNA-seq) allows studying heterogeneity in gene expression
in large cell populations. Such heterogeneity can arise due to technical or biological factors…

Nanopore sequencing provides signal data corresponding to the nucleotide motifs sequenced.
Through machine learning-based methods, these signals are translated into long-read …

RNA modifications, such as N 6 -methyladenosine (m 6 A), modulate functions of cellular
RNA species. However, quantifying differences in RNA modifications has been challenging. …

RNA modifications such as m6A methylation form an additional layer of complexity in the
transcriptome. Nanopore direct RNA sequencing can capture this information in the raw current …

The human genome contains more than 200,000 gene isoforms. However, different isoforms
can be highly similar, and with an average length of 1.5kb remain difficult to study with short …

… ,n) denotes all pathway assignments except the position n in the pseudo drug document d,
and C (·),∖(d,n) represents a count matrix that does not count the pathway assignment z d,n . …

… where V i min and V i max are the default lower and upper bounds for each flux, respectively,
and v i , f, and g are n-dimensional Boolean arrays that select the fluxes to be maximized (…

… the joint posterior distribution of xd,n and zd,n while φt,θa,ψd are … ,n is updated by Equation
(1). Note that the subscript \(d, n) indicates that all positions excluding the current position n …

… where Model_CG r stands for the cumulative gain at rank r of our model, where n r is the
cumulative number of overlapping genes at rank r, and R is the total number of rank entries. …