Ashwini Kumar Sharma
@compbio.bsky.social
Computational Biology @GSK || Alum of @UniHeidelberg, @DKFZ, @KiTZ_HD || Understanding diseases with data & #Rstats || Opinions my own || 🇮🇳 🇩🇪 🇪🇺 🇬🇧
https://ashwini-kr-sharma.github.io/
https://ashwini-kr-sharma.github.io/
Reposted by Ashwini Kumar Sharma
Not checking nuclear markers like MALAT1 or intronic reads in your scRNA-seq data?🚨
We show their power to flag low-quality cells—even in top public datasets. It’s time to prioritize better QC for cleaner, more reliable genomics research!
Read more: bmcgenomics.biomedcentral.com/articles/10....
1/8
High content of nuclei-free low-quality cells in reference single-cell atlases: a call for more stringent quality control using nuclear fraction - BMC Genomics
The advent of droplet-based single-cell RNA-sequencing (scRNA-seq) has dramatically increased data throughput, enabling the release of a diverse array of tissue cell atlases to the public. However, we...
bmcgenomics.biomedcentral.com
December 3, 2024 at 8:38 AM
Not checking nuclear markers like MALAT1 or intronic reads in your scRNA-seq data?🚨
We show their power to flag low-quality cells—even in top public datasets. It’s time to prioritize better QC for cleaner, more reliable genomics research!
Read more: bmcgenomics.biomedcentral.com/articles/10....
1/8
Reposted by Ashwini Kumar Sharma
www.anthropic.com/research/sta...
This is an excellent attempt (blog & paper) at bringing more statistical rigor to evaluation of ML models (this is specifically focused on LLM evals).
I feel like we need to have similar clear standards for many types of predictive models in biology. 1/
This is an excellent attempt (blog & paper) at bringing more statistical rigor to evaluation of ML models (this is specifically focused on LLM evals).
I feel like we need to have similar clear standards for many types of predictive models in biology. 1/
A statistical approach to model evaluations
A research paper from Anthropic on how to apply statistics to improve language model evaluations
www.anthropic.com
November 22, 2024 at 8:29 AM
www.anthropic.com/research/sta...
This is an excellent attempt (blog & paper) at bringing more statistical rigor to evaluation of ML models (this is specifically focused on LLM evals).
I feel like we need to have similar clear standards for many types of predictive models in biology. 1/
This is an excellent attempt (blog & paper) at bringing more statistical rigor to evaluation of ML models (this is specifically focused on LLM evals).
I feel like we need to have similar clear standards for many types of predictive models in biology. 1/
Reposted by Ashwini Kumar Sharma
Not enough bioinformatics in your Bluesky feed? We’ve got you covered. Follow us for our latest news, exciting life science research, updates from our data resources, new tools and training resources.
Haven't heard of EMBL-EBI? Take a look at what we’re working on. www.ebi.ac.uk/about/our-im...
Haven't heard of EMBL-EBI? Take a look at what we’re working on. www.ebi.ac.uk/about/our-im...
Our impact
We provide open data that helps scientists understand life and that informs solutions to real-world problems, such as infectious diseases, climate change and food security.
www.ebi.ac.uk
November 19, 2024 at 2:18 PM
Not enough bioinformatics in your Bluesky feed? We’ve got you covered. Follow us for our latest news, exciting life science research, updates from our data resources, new tools and training resources.
Haven't heard of EMBL-EBI? Take a look at what we’re working on. www.ebi.ac.uk/about/our-im...
Haven't heard of EMBL-EBI? Take a look at what we’re working on. www.ebi.ac.uk/about/our-im...