Aneesa Valentine
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aneesavalentine.bsky.social
Aneesa Valentine
@aneesavalentine.bsky.social
scientist | algorithms for single-cell -omics | enabling the next generation of scientists: stem careers, sci-comm & community

blog: medium.com/@aneesav/
Yes.
January 12, 2025 at 1:54 AM
How many people actually try to reproduce figures in scientific papers?

How many authors publish clear, robust methods?

And how do you reliably infer accuracy of reproduction in a computational space where “random seed” reigns?

github.com/aneesav/sing...
GitHub - aneesav/singlecell: Reproducing figures in reputable scientific papers with open-source data
Reproducing figures in reputable scientific papers with open-source data - aneesav/singlecell
github.com
January 3, 2025 at 3:11 PM
Everybody’s got an “unwrapped” now. First Spotify, then Apple, now LinkedIn.

Here’s to a dynamic 2025: more writing, coding, teaching, learning.

More doing.

Happy New Year’s Eve!
December 31, 2024 at 2:44 PM
Why release another open-source model that’s actually not as accessible as folks might think? How about releasing resources to enable training instead?

Good stuff, Harvard.

www.wired.com/story/harvar...
Harvard Is Releasing a Massive Free AI Training Dataset Funded by OpenAI and Microsoft
The project’s leader says that allowing everyone to access the collection of public-domain books will help “level the playing field” in the AI industry.
www.wired.com
December 12, 2024 at 12:59 PM
“Science doesn’t happen in a notebook.”

That little black box was the bane of my existence in grad school. GUIs >>>.

But if you find command line intimidating like I did, hopefully this piece I wrote can help you get started: medium.com/@aneesav/a-s...
A Scientist’s Lament: Do You Hate Command Line Too?
“Science doesn’t happen in a notebook .” Here’s why.
medium.com
December 11, 2024 at 11:32 PM
Then, are the 1% of scientists that sit at the bleeding edge of scientific discovery truly the sole contributors to said discovery?

It would seem that those pioneering new methods are piggy-backing off the work of their predecessors.

Science is a team effort.

www.statnews.com/sponsor/2024...
New report highlights the scientific impact of open source software
Two of the scientists who won this year’s Nobel Prize for cracking the code of proteins’ intricate structures relied, in part, on a series of computing
www.statnews.com
December 4, 2024 at 4:00 PM
Listened to an interview last week that made me think.

What considerations does one need to implement from ideation, when building a biology product that uses ML, vs an ML product for biological use?

Naturally, these are 2 very different goals. But I wonder how do you approach dev for either?
December 2, 2024 at 3:03 PM
Reposted by Aneesa Valentine
Our new study shows that SARS-CoV-2 spike protein accumulates & persists in the body for years after infection, especially in the skull-meninges-brain axis, potentially driving long COVID. mRNA vaccines help but cannot stop it🔬🧠🦠🧵Your weekend read👇
@cellpress.bsky.social
cell.com/cell-host-mi...
November 29, 2024 at 4:01 PM
I asked ChatGPT to generate an image of what it thinks I look like, based on everything it knows about me.

Needless to say, we’ve got some work to do still.

#ai #bias
November 29, 2024 at 4:16 PM
Reposted by Aneesa Valentine
I made a starter pack for algorithmic genomics. It's certainly incomplete, but already has a ton of awesome peeps. Let me know if you know people I should add (with a focus on algorithms and data structures in genomics)

go.bsky.app/TRWCnZs
November 12, 2024 at 2:03 PM
Reposted by Aneesa Valentine
Ok, I tried to create my own list of people working on developing statistical or machine learning models applied to omics data. I am sure I missed a lot of cool people. If you'd like to be added, let me know. #Stats #ML #Omics
go.bsky.app/73rcuJn
November 24, 2024 at 7:50 AM
Reposted by Aneesa Valentine
TechBio Transformers (founded by @dr-alphalyrae.bsky.social) is a growing global community of folks who want to (+)ly impact the field of technology & biology, while also intentionally building healthy dialogue and community

Follow along, & even consider joining the group!
bsky.app/starter-pack...
November 25, 2024 at 6:15 PM
Reposted by Aneesa Valentine
I sometimes forget how flexible proteins are. It becomes really apparent when you use NMR states for an animation. That poor cofactor is getting pushed around a lot 😅

#sciart #blender3d #biocatalysis
November 25, 2024 at 5:14 PM
Reposted by Aneesa Valentine
Here's a starter pack of Black Scientists and Organizations (currently STEMM disciplines)! go.bsky.app/Ao3Qt9a
November 12, 2024 at 7:03 PM
Students aren’t taught software dev best practices in their formal comp bio training.

Cookiecutter helps by generating a directory on a user’s computer with all of the configurations and file structures needed.

pubs.acs.org/doi/10.1021/...
Cookiecutter for Computational Molecular Sciences: A Best Practices Ready Python Project Generator
Scientific software development takes far more than good programming abilities and scientific reasoning. Concepts such as version control, continuous integration, packaging, deployment, automatic documentation compiling, licensing, and even file structure are not traditionally taught to scientific programmers. The skill gap leads to inconsistent code quality and difficulty deploying products to the broader audience. Most of the implementation of these skills however can be constructed at project inception. The Cookiecutter for Computational Molecular Sciences generates ready-to-go Python projects that incorporate all of the concepts above from a single command. The final product is then a software project which lets developers focus on the science and minimizes worries about nonscientific and nonprogramming concepts because the best practices, as established by the Molecular Sciences Software Institute, have already been incorporated for them. This is a community driven project with widespread adoption across the computational molecular sciences. The Molecular Sciences Software Institute and Computational Molecular Sciences community also continually contribute and update the Cookiecutter for Computational Molecular Science, ensuring that the project is responsive to community needs and tool updates. All are welcome to suggest changes and contribute to making this the best starting point for Python-based scientific code.
pubs.acs.org
November 25, 2024 at 8:02 PM
Reposted by Aneesa Valentine
Humans share 70% of our DNA with zebrafish. So when you're having difficulty getting anything done, it's usually because a zebrafish is using the DNA.
February 12, 2024 at 10:02 PM
Shocker.

Deep learning is cool and all, but simpler methods still do the job. And quite well it seems.

www.biorxiv.org/content/10.1...
Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear methods
Advanced deep-learning methods, such as transformer-based foundation models, promise to learn representations of biology that can be employed to predict in silico the outcome of unseen experiments, su...
www.biorxiv.org
November 24, 2024 at 9:50 PM