Cells were classified to the following classes: Myeloid, CD4 T cells, CD8 T cells, T regulatory cells, CD3T cells (CD3+ only), Neutrophil, Stroma, Endothelial, Neuron, Lymphatic, Plasma cells, B cells, and Tumor cells. Expression of all proteins across cell types can be found in ...
Classify the orange neuron by structure. There are 3 steps to solve this one.
Scientists have organized the cells that make up the nervous system into two broad groups: neurons, which are the primary signaling cells, and glia, which support neurons in various ways. The human brain contains around 100 billion neurons and, by most estimatesFerris J...
This paper presents a deep learning model based on an active learning strategy. The model achieves accurate identification of vegetation types in the study area by utilizing multispectral data obtained from preprocessing of unmanned aerial vehicle (UAV)
"We found thatindividual neuronsexpress approximately 7,000 genes," said Cathryn R. Cadwell, student in the M.D/Ph.D program at Baylor and co-first author. "Many of these genes are thought to be important for specifying the morphological and physiological characteristics of a neuron." ...
Of the 1708 selected CpGs, 100 overlapped with DMPs from the main analysis at the gene level. These overlapping genes were enriched in neuron projection and dendrite extension, lending support to our finding that neuronal processes, rather than immune processes, are implicated in disease severity. ...
In each of the nine cases, the extracted patches are centered around the “hottest” pixel (i.e., highest response) of the neuron (in the last convolutional layer of our CNN) that have the highest MI score (Appendix 4) for the said species class. The MI scores are calculated using ...
Single cell technologies are rapidly generating large amounts of data that enables us to understand biological systems at single-cell resolution. However, joint analysis of datasets generated by independent labs remains challenging due to a lack of consi
the presynaptic cell. Thus, we focus on reproducing the temporal properties of spike trains using computationally compact point neuron models. This spike-train focus allows us to generate models which are much simpler than biophysically detailed models but still capture a substantial amount of their ...
the molecular association data of drug/drug-like molecules against known GPCRs. It is important to note that the overall design of our work is entirely different from a recently published study by Seo et al.27which also aimed at classifying known GPCR ligands. In their study, Seo and his ...