Single-cell genomic technologies provide an unprecedented opportunity to define molecular cell types in a data-driven fashion, but present unique data integration challenges. Here we present UINMF, a computational tool designed to improve dataset integrations by leveraging unshared features.
The objective of our research program is to better understand and improve nitrogen (N) use efficiency in maize. One of these strategies was to study the impacts of environmental conditions, and allelic variation of the cytosolic glutamine synthetase enzyme on maize hybrid kernel production.
Outcomes of the workshop organised by Blue-Cloud on June 3rd that engaged experts across the Atlantic in a dialogue to identify needs and challenges of data sharing ‘pole to pole’ and gave some recommendations towards setting up an Atlantic Data space for the ocean.
We release a 306-channel MEG-BCI data recorded at 1KHz sampling frequency during four mental imagery tasks (i.e. hand imagery, feet imagery, subtraction imagery, and word generation imagery). The current dataset is the only publicly available MEG imagery BCI dataset as per our knowledge.
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