Although tremendous effort has been put into cell-type annotation, identification of previously uncharacterized cell types in heterogeneous single-cell RNA-seq data remains a challenge. Here we present MARS, a
As machine learning models can’t usually operate directly on nominal values, it’s important that they get converted to numeric values during preprocessing — for example, using techniques such as one-hot encoding. It’s crucial to remember that nominal variables don’t have a natural ordering,...
However, ASFV has a large genome that encodes between 150鈥 200 genes, and classifications using a single gene are insufficient and misleading, as strains encoding an identical p72 often have significant mutations in other areas of the genome. We present here a new classification of ASFV based ...
As such, there are many different types of learning that you may encounter as a practitioner in the field of machine learning: from whole fields of study to specific techniques. In this post, you will discover a gentle introduction to the different types of learning that you may encounter in...
We identified eight BC types (Fig.3a). BCs are typically categorized into ON and OFF subclasses based on expression of metabotropic and ionotropic glutamate receptors50. By studying the genes encoding these channels, we found that lamprey BCs can be similarly classified into ON types expressing the...
Algorithmic bias.AI and machine learning algorithmsreflect the biasespresent in their training data -- and when AI systems are deployed at scale, the biases scale, too. In some cases, AI systems may even amplify subtle biases in their training data by encoding them into reinforceable and pseudo...
quick sync video is a hardware-based video encoding and decoding technology that is built into intel® processors. it allows for fast and efficient video encoding and decoding, making it ideal for use in a range of applications, including video editing and gaming. while every effort has ...
(encoding mainly neuropeptides and proteins for neurotransmitter synthesis or transport30). Theatf5bgene was strongly expressed in cluster e17 and weakly detected in several clusters, including e6, e14 and e21 (Figs.1and3). On the basis of cluster e17 markers, we explored the anatomical ...
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Most spatial transcriptomics technologies are limited by their resolution, with spot sizes larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can alleviate this problem, current methods are limited to assessing dis