Published📘 "Computational genomics with R" is now available from CRC press. Check out if you want to learn #machineLearning #stats #Rstats #genomics #ChIPseq #rnaseq #BSseq. Big thanks to @VedranFranke @BoraUyar & Jona Ronen, each contributed a chapter. https://t.co/TqLTxXcu7a

Deep Learning Integrates Multi-Omics for Precision Oncology Decision Making Flexynesis uses #deeplearning to evaluate multi-omics data as well as specially processed texts and images, including CT or MRI scans @AltunaAkalin #multiomics #precisiononcology https://t.co/a6USW8oBWn

Can deep learning truly outperform classical machine learning methods for integrating multi-omics cancer data, or do we need more accessible tools to make these sophisticated approaches practically useful?@NatureComms "Flexynesis: A deep learning toolkit for bulk multi-omics

introducing mitte 1.0. AI creative suite, built for precision. photorealistic scenes. perfect product placement. video and sound. check us out on @ProductHunt today.

We benchmarked PocketVina across four widely used datasets (PDBbind, PoseBusters, Astex, DockGen), and introduce TargetDock-AI — a large-scale benchmark of >500K protein–ligand pairs with activity labels from PubChem. (5/n)

I'm excited to share our new preprint: PocketVina — a fast, scalable, and accurate multi-pocket molecular docking method. Docking remains essential in early-stage drug discovery, but recent deep learning–based approaches still face limitations in generating... Thread - (1/n)

All results, code (MIT License), and data are open and available: 📄 Paper: https://t.co/0u38PAkzuf 📦 Data: https://t.co/KxZk2lT0mO 💻 Code: https://t.co/PvAjCrrnbn Huge thanks to co-authors @AltunaAkalin, Bora Uyar, and @vedranfranke!

Happy to announce the first public release of rolv app. Rolv is your AI-powered research assistant for life sciences! It provides a new way to accelerate data analysis, literature reviews, and hypothesis generation. ✨ Core Features: AI-Assisted Data Analysis: Ask data analysis

Happy to announce the first public release of rolv app. Rolv is your AI-powered research assistant for life sciences! It provides a new way to accelerate data analysis, literature reviews, and hypothesis generation. ✨ Core Features: AI-Assisted Data Analysis: Ask data analysis

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🚑✨ Our new research in @SpringerNature journal npj Digital Medicine shows that large language models—including a RAG-enhanced one—accurately triaged, referred and even suggested diagnoses for 2,000 real emergency-department cases. 🩺 Clinicians mostly agree with what the

How can large language models improve the matching of cancer patients to clinical trials by extracting biomarker information from unstructured clinical trial descriptions?@npjDigitalMed "Enhancing biomarker based oncology trial matching using large language models" • The

Just finished module 1 on AI-assisted data analysis and was amazed by @rolv_io. Made it incredibly easy to visualize gene expression heatmaps and apply ML to methylation data. Thanks @AltunaAkalin and team!

#BIOINFOCONGRESS VII kapsamında, 23 Mart 2025 tarihinde 14.00-15.00 saatleri arasında Sayın Dr. Altuna Akalın (@AltunaAkalin) "AI-assisted Data Analysis for Biology” konulu konuşmasını gerçekleştirecektir. 🔗 Kayıt Formu: https://t.co/LP1I2M8YbT

created for @AltunaAkalin 's https://t.co/z8R58GjYny project

open up https://t.co/4pxKzHEBsS skip the waitlist, just login create images like these :)

I'm happy to announce our next computational genomics course for 2025. The deadline for application is January 30th 2025. We will cover: - AI-assisted data analysis - Spatial omics analysis - Multi-omics data analysis. More info is here: https://t.co/Qks1N5JMCa

This is the last chance to apply for our computational genomics course, which includes an AI-assisted data analysis module. Deadline in 9 days. More info at https://t.co/2GOiBOkVaS

One of the most reliable ways to improve our mental health is to help others. After being randomly assigned to do just 3 acts of kindness a week, people felt significantly less depressed, anxious, and lonely. Lifting others up elevates us too. Giving shows us that we matter.

Last week, I had the pleasure to give a keynote at the annual HIBIT Bioinformatics conference in Istanbul, here are the points that intrigued the audience most: 1️⃣ Our AI deployments in healthcare: Multiple participants asked about safety and our future plans for deploying these