Bioinformatics_News

Bioinformatics all around!

[Eric Topol @EricTopol]

The basis for early-onset colon cancer, now showing up throughout the world, is poorly understood. The Table below is the ranking of countries affected. This new review gets at the potential causes and what needs to be done.
https://t.co/d7Nsludvez

[Ming "Tommy" Tang @tangming2005]

🧵 Should you integrate single-cell RNA-seq datasets or not?
You've got PBMCs from multiple donors. Merge them—or keep them separate? Let's break it down.

[Ming "Tommy" Tang @tangming2005]

Scikit-bio: a fundamental Python library for biological omic data analysis https://t.co/zRqpOMzXtR

[Fernando @Franc0Fernand0]

One of the best math books I've ever read:

MIT's "Mathematics for Computer Science"

Its writing style is brilliant, and it covers everything:

- Linear algebra
- Series
- Logic
- Probability
- Number theory
- Graphs

You can find the PDF here:

https://t.co/iQvaflkDPD

[Valeriy M., PhD, MBA, CQF @predict_addict]

Hidden deep inside the depth of internet, a treasure.

#probability

[Nature Aging @NatureAging]

Online now!✨RESEARCH: Bodogai et al identify a unique population of CD8+ T cells that accumulate during aging and actively promote tumor progression by suppressing antitumor CD4+ T cells https://t.co/rqyvslG0T4 https://t.co/SRvtip7Wo5

[Matt Dancho (Business Science) @mdancho84]

Understanding probability is essential in data science.

In 4 minutes, I'll demolish your confusion.

Let's go!

[Nature Aging @NatureAging]

🎉Immune aging focus 🎉 Franceschi et al discuss tracking and intervening in inflammaging, through a personalized lens https://t.co/KjkaEjiSeB https://t.co/eUyLRVX3eY

[Ahuja Lab @ahuja_77]

🎉 Big news! 🎉 Our AI platform, AgeXtend, just came out in #NatureAging. 🤖 Thanks @NatureAging, it was a great experience for us. Thanks @lab_sengupta @parul @tarini_ghosh @IIITDelhi @CompBio_IIITD @DBTIndia @serbonline @AnubhutiIhub @iiitdcai
🔗 https://t.co/KzrKU6EKkJ

[Scott Isaacs @scottisaacsmd]

One of the reasons why it is so difficult to maintain weight loss is because adipose issue retains an epigenetic memory of obesity after weight loss.
https://t.co/BvNcuLdhYB

[Marcos Gorgojo @MarcosGorgojo]

Ilya Sutskever gave John Carmack a list of papers to read, so as to improve John's understanding of AI. That is a lot to read. If you want to quickly grasp what those papers are about, in this thread I share maps on over 20 of them 👇

[Soheil Feizi @FeiziSoheil]

Just dropped a 4 hour lecture on "Large Language Models": https://t.co/KI5CJ6OksI

0:00 Basics of language models
2:30 Word2vec
16:27 Transfer Learning
19:23 BERT
1:00:39 T5
1:31:14 GPT1-3
1:53:05 ChatGPT
2:20:03 LLMs as Deep RL
2:53:00 Policy Gradient
3:32:50 Train your own LLM

[Ming "Tommy" Tang @tangming2005]

People always ask how the protein is expressed if I show the RNA data. Here are the 10 resources for protein data 👇 🧵

[Jonathan Pritchard @jkpritch]

Today marks the 25th anniversary of Neil Risch and Kathleen Merikangas' classic 2-page paper that articulated GWAS as the future of human genetics. A short thread.
https://t.co/f5Eb9lcpd2

[Dan @danmurrays]

Today in A.I:

Sam Altman, the CEO of OpenAI and founder of ChatGPT is facing a senate hearing over the safety and regulation of A.I

Here's the summary:

[Eric Topol @EricTopol]

The strong inverse correlation between lifespan and mutation rate: we accrue mutations at a slower pace than many mammals but have roughly the same number of mutations by the end of our respective lifespans https://t.co/MBgFMkEeUn
@Nature

[PyTorch @PyTorch]

Automate the tuning of hyperparameters with PyTorch Ignite using Bayesian Optimisation in Optuna. Learn more: https://t.co/VxOgKGxXbh

[Stephen Turner 🦋 @stephenturner.us @strnr]

List of publicly available bulk and sc COVID-19 RNA-seq datasets, with GEO+SRA links https://t.co/IzBO265gJx

[Tuuli Lappalainen @tuuliel]

New preprint from my lab! We use CRISPR to test effects of genetic variants inside transcripts, validating a number of GTEx variants: eQTLs and rare variants triggering nonsense-mediated decay. We then test variants in two disease genes where NMD affects the phenotype.

[Ronan Doyle @RonanMDoyle]

Our new preprint asks - "What happens when you give people identical bacterial sequence data and ask them to predict antimicrobial resistance?" Answer: A lot of disagreement https://t.co/iGdKONnRiA 1/5