The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb to help comb the huge cancer research literature. Thanks to @obigriffith , @malachigriffith and all our wonderful collaborators. https://t.co/Mr8mCMQufc
Text-mining clinically relevant cancer biomarkers for curation into the CIViC database.
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Jan 2019 – May 2021Where it's discussed
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X / Twitter22 posts
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YouTube2 videos
AI synopsis
What people are saying
The discussions highlight the groundbreaking nature of the text-mining tool, with phrases like 'fantastic,' 'brilliant,' and 'really fun,' reflecting enthusiasm and recognition of its innovative potential. Multiple comments mention collaborations and the large scale of the database, emphasizing its meaningful impact on cancer research and data curation efforts.
All discussions highly support and endorse the relevance and importance of the article, emphasizing its contributions to the field.
The discussions reveal a strong fascination with the technological and scientific aspects, indicating high curiosity and enthusiasm.
Several posts reference personal involvement, collaborations, and the broader implications, demonstrating deep engagement.
The tone and content suggest that respondents view this research as significantly advancing cancer biomarker curation and precision medicine.
Abstract in brief
- This article discusses the development of CIViCmine, a text mining tool designed to extract clinically relevant cancer biomarkers from scientific literature to support precision oncology and update the CIViC knowledgebase more efficiently.
- The process involved annotating sentences with biomarker information, using supervised learning to build the database, which now contains over 87,000 biomarkers linked to genes, drugs, and cancer types from thousands of PubMed articles.
- CIViCmine offers a publicly accessible resource that provides prioritized, curated biomarkers to aid researchers and clinicians, enhancing the coverage and usability of cancer knowledgebases in precision medicine.
Top posts
Most liked on X and BlueskyThis one was really fun. Great to collaborate with @sjmjones and his brilliant former student @jakelever0 on CIViCmine. Text mining informed by CIViC curation principles and applied to the biomedical literature. https://t.co/EZXcJwOGxq
Text-mining clinically relevant cancer biomarkers for curation into the CIViC database https://t.co/YDl2TPuN1G
RT @geovcnt: Text-mining clinically relevant cancer biomarkers for curation into the CIViC database https://t.co/YDl2TPuN1G
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
All mentions
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RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @geovcnt: Text-mining clinically relevant cancer biomarkers for curation into the CIViC database https://t.co/YDl2TPuN1G
RT @geovcnt: Text-mining clinically relevant cancer biomarkers for curation into the CIViC database https://t.co/YDl2TPuN1G
RT @geovcnt: Text-mining clinically relevant cancer biomarkers for curation into the CIViC database https://t.co/YDl2TPuN1G
Text-mining clinically relevant cancer biomarkers for curation into the CIViC database https://t.co/YDl2TPuN1G
Text-mining clinically relevant cancer biomarkers for curation into the CIViC database - https://t.co/A3ADqkZG3H
#biocuration https://t.co/qzbn6PuStC Text-mining clinically relevant cancer biomarkers for curation into the CIViC database.
RT @malachigriffith: This one was really fun. Great to collaborate with @sjmjones and his brilliant former student @jakelever0 on CIViCmine…
RT @malachigriffith: This one was really fun. Great to collaborate with @sjmjones and his brilliant former student @jakelever0 on CIViCmine…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @malachigriffith: This one was really fun. Great to collaborate with @sjmjones and his brilliant former student @jakelever0 on CIViCmine…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
RT @jakelever0: The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb t…
The final chapter of my thesis is now published in @GenomeMedicine . Check it out! Text mining for the fantastic @CIViCdb to help comb the huge cancer research literature. Thanks to @obigriffith , @malachigriffith and all our wonderful collaborators. https://t.co/Mr8mCMQufc
RT @malachigriffith: This one was really fun. Great to collaborate with @sjmjones and his brilliant former student @jakelever0 on CIViCmine…
This one was really fun. Great to collaborate with @sjmjones and his brilliant former student @jakelever0 on CIViCmine. Text mining informed by CIViC curation principles and applied to the biomedical literature. https://t.co/EZXcJwOGxq
RT @biorxivpreprint: Text-mining clinically relevant cancer biomarkers for curation into the CIViC database https://t.co/HX3WUcdNhg #bioRx…