As connectomics advances, it will become commonplace to know far more about the structure of a nervous system than about its function. The starting point for many investigations will become neuronal wiring diag
such as growth, proliferation, and cell-death pathways. To better understand the hallmarks of cancer, such as proliferation and apoptosis, it is critical to accurately identify cancer driver genes. Due to a strong dependency on the biological context, cancer driver genes and their ...
However, interpreting the individual parts remains a challenge. To address this challenge, we extend methods for differential expression analysis by allow- ing cells to have partial membership to multiple groups. We call this grade of member- ship differential expression (GoM DE). ...
However, interpreting the individual parts remains a challenge. To address this challenge, we extend methods for differential expression analysis by allowing cells to have partial membership to multiple groups. We call this grade of membership differential expression (GoM DE). We illustrate the ...
To evaluate the performance of Moonlight, we compared its machine-learning approach to two state-of-the-art methods for the detection of cancer driver genes: 20/20+66and OncodriveRole67. We chose these methods for their popularity, ease of implementation, and similarity to Moonlight’s machine...
The relationships between samples are governed by a kernel (or covariance) function, which defines the similarity between points. The distribution of a GP is expressed as:(5)f(x)∼GPm(x),kx,x′ where m(x) is the mean function and kx,x′ is the covariance function. The mean μ∗ ...
There is an increasing interest in the use of Deep Learning (DL) based methods as a supporting analytical framework in oncology. However, most direct applications of DL will deliver models with limited transparency and explainability, which constrain the
interpreting the individual parts remains a challenge. To address this challenge, we extend methods for differential expression analysis by allowing cells to have partial membership to multiple groups. We call this grade of membership differential expression (GoM DE). We illustrate the benefits of GoM...