Add snippets to references

[jaybee84]

Identify those references (≤ 10% of the total) that, in your opinion, represent key contributions to the field. Please add a short note (1–2 sentences) at the end of each of these references, explaining their importance.

[jaybee84]

@allaway @jaclyn-taroni
I forgot to mention this in the meeting today, but this is one thing that we can probably work on in parallel. Would you both like to select 2 references of your choice each from our ref list and add a couple of sentences to explain the key contributions?

[jaybee84]

@jaclyn-taroni and @allaway would you like to list here which publications you would like to add snippet to? Just so that we can avoid working on the same ones.

[allaway]

I am thinking

A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing
Opportunities in Rare Diseases
Daniel N. Sosa, Alexander Derry, Margaret Guo, Eric Wei, Connor Brinton, Russ B. Altman Biocomputing 2020 (2019-12) >https://doi.org/gmpgs7
DOI: 10.1142/9789811215636_0041 · ISBN: 9789811215629

and

Improving rare disease classi�cation using imperfect knowledge graph
Xuedong Li, Yue Wang, Dongwu Wang, Walter Yuan, Dezhong Peng, Qiaozhu Mei BMC Medical Informatics and Decision Making (2019-12) https://doi.org/gg5j65
DOI: 10.1186/s12911-019-0938-1 · PMID: 31801534 · PMCID: PMC6894101

What do you all think?

[jaybee84]

@allaway My suggestion would be to pick one paper to represent KGs. We can add snippets to <10 papers from our ref list, so I was hoping we can touch upon one paper from each of the main concepts. What do you think?

[allaway]

Makes sense. How about substituting Li et al for

Quellec G, Lamard M, Conze PH, Massin P, Cochener B. Automatic detection of rare pathologies in fundus photographs using few-shot learning. Med Image Anal. 2020 Apr;61:101660. doi: 10.1016/j.media.2020.101660. Epub 2020 Jan 28. PMID: 32028213.

[jaybee84]

Sounds good to me

[jaybee84]

I have added three refs + snippets in #247.

Also thinking of adding:

Mao, W., Zaslavsky, E., Hartmann, B.M. et al. Pathway-level information extractor (PLIER) for gene expression data. Nat Methods 16, 607–610 (2019). https://doi.org/10.1038/s41592-019-0456-1