Join the Human AWG OSDR-SPOKE Fabric Subgroup Knowledge Graph & ML

AWG Projects Human AWG Open Projects
, ,
1

Dear AWG members -

We’re excited to expand the integration of datasets in the OSDR GeneLab-SPOKE data fabric. Once a dataset is incorporated, researchers can seamlessly conduct SPOKE analyses within the OSDR GeneLab Visualization portal.

We’re seeking your expertise in processing human datasets and mapping them to SPOKE. If you’re interested in contributing or learning more about leveraging SPOKE in your research, please join us for the OSDR-SPOKE Fabric subgroup meeting the first Tuesday of each month starting Tuesday, November 5, 2024 6:00 PM PT.

https://osdr.nasa.gov/bio/repo/

Makes sure to join the @HUMANawg to get the invite on your calendar via the Member Hub: The Open Science Data Repository AWG Community

SPOKE_vis_screenshot
SPOKE_vis_screenshot1920×1099 140 KB

@Dr.Overbey @georgemias @HUMANawg

7 Likes
2

Reminder to everyone that the SPOKE sub-group is meeting tomorrow, 10AM Pacific

Calendar invite for those who are ‘in’ the @HUMANawg - but all are welcome to join:
https://awg.osdr.space/t/human-awg-spoke-subgroup/1289?u=rtscott2001

@AnimalAWG @ALSDAawg @FemaleReproAWG

4

Could you tell me where the link is for the Human AWG? I haven’t received email notifications. I’d like to join and attend the meeting. Thank you.

1 Like
5

Did you get dialed in with the SPOKE sub-group @anuiris ? Next meeting is Tues, Dec 3rd.

@canelson @Dr.Overbey

Some background on the SPOKE knowledge graph:

SPOKE detecting MS five years pre-clinical manifestations

And Alzheimer’s Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights | Nature Aging

Nelson, C.A., Butte, A.J. & Baranzini, S.E. Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings. Nat Commun 10 , 3045 (2019).
https://doi.org/10.1038/s41467-019-11069-0

Nelson, C. A., Acuna, A. U., Paul, A. M., Scott, R. T., Butte, A. J., Cekanaviciute, E., … & Costes, S. V. (2021). Knowledge network embedding of transcriptomic data from spaceflown mice uncovers signs and symptoms associated with terrestrial diseases. Life , 11 (1), 42.

2 Likes
6

Unfortunately, no… I would be travelling on the 3rd for ASGSR, so will miss the upcoming meeting. Is the SPOKE Lead attending ASGSR? Then I can meet them in-person.

1 Like
7

Hi @canelson ,This sounds incredibly interesting! :blush: I’d love to join! Would it be possible for me to be a part of this initiative?

1 Like