only the labeled data, the pretraining process permits un-labelled data from outside sources, like TCGA, as opposed to just gene expression profiles obtained from drug reaction tests, resulting in a significant increase in the number of samples available and improved performance. Chiu et al. (20...
When elucidating interactions, it helps to have a chemical identification to connect with genetic sequencing information. The most pronounced challenge is the difficulty in integrating microbiome and mass spectrometry (e.g., metabolomics) data in order to derive meaningful insights. Experimentally, one ...
Shamas-Din, A.; Schimmer, A. D. Drug discovery in academia. Exp. Hematol. 2015, 43 (8), 713-7.Aisha, Shamas-DinaAaron D., Schimmer. (2015) Drug discovery in academia. Experimental Hematology /Shamas-Din A. & Schimmer A.D., (2015), Drug discovery in academia., Exp Hematol., ...
The workflow of the scDrug pipeline consists of three main modules: 1) scRNA-seq analysis for identification of tumor cell subpopulations, 2) functional annotation of cellular subclusters, and 3) drug repositioning prediction (Fig. 1). Download: Download high-res image (419KB) Download: Download...
Galectins are a family of endogenous glycan-binding proteins that have crucial roles in a broad range of physiological and pathological processes. As a group, these proteins use both extracellular and intracellular mechanisms as well as glycan-dependent
Drug addiction is responsible for millions of deaths per year around the world. Still, its management as a chronic disease is shadowed by misconceptions from the general public. Indeed, drug consumers are often labelled as “weak”, “immoral” or “depr
introduced an innovative deep neural network model named RefDNN for better drug resistance prediction and biomarker identification related to drug response [14]. Despite significant progress in DRP research, there are some issues worth considering. For instance, most studies represent drugs as strings,...
El-Din Hydroxyurea-induced dermatomyositis: true amyopathic dermatomyositis or dermatomyositis-like eruption? Int J Dermatol, 51 (5) (2012), pp. 535-541 CrossrefView in ScopusGoogle Scholar [7] F. Alvarez, C. Pagot, C.M. Vabre-Latre, E. Uro-Coste, C. Paul, Y. Chaix, J. Mazer...
The intensity segmentation was then used to perform weakly supervised learning with a deep convolutional neural network (CNN) for object identification on the partially correct intensity segmentation, leveraging the robustness of CNNs with regard to mislabeled training data and eliminating the need for ...
G. Identification of collaterally perfused areas following focal cerebral ischemia in the rat by comparison of gradient echo and diffusion-weighted MRI. J. Cereb. Blood Flow Metab. 15, 578–586 (1995). Article CAS PubMed Google Scholar Moseley, M., Wendland, M. & Kucharczyk, J. Magnetic...