Chakravarthi Kanduri
@chakri.bsky.social
Researcher at the University of Oslo | PhD in #Bioinformatics from University of Helsinki | academic #datascience, #python, #rstats, #ML
Reposted by Chakravarthi Kanduri
Ready to make your mark?
Accept the challenge 👇 🔗: kaggle.com/competitions...
#AIRR #Competition #DeepLearning #ComputationalBiology
@victorgreiff.bsky.social @chakri.bsky.social
Accept the challenge 👇 🔗: kaggle.com/competitions...
#AIRR #Competition #DeepLearning #ComputationalBiology
@victorgreiff.bsky.social @chakri.bsky.social
AIRR-ML-25: Adaptive Immune Profiling Challenge
Predict labels (e.g. disease, healthy) from sets of immune receptor sequences, and identify the sequences that explain the labels.
kaggle.com
November 14, 2025 at 7:11 PM
Ready to make your mark?
Accept the challenge 👇 🔗: kaggle.com/competitions...
#AIRR #Competition #DeepLearning #ComputationalBiology
@victorgreiff.bsky.social @chakri.bsky.social
Accept the challenge 👇 🔗: kaggle.com/competitions...
#AIRR #Competition #DeepLearning #ComputationalBiology
@victorgreiff.bsky.social @chakri.bsky.social
Reposted by Chakravarthi Kanduri
📢 We are announcing the Adaptive Immune Profiling Challenge 2025!
Can you predict immune state labels from adaptive immune receptor repertoires?
💰 $10,000 prize pool!
🗓️ Launches Nov 5 on @kaggle.com
More Info: uio-bmi.github.io/adaptive_imm...
Can you predict immune state labels from adaptive immune receptor repertoires?
💰 $10,000 prize pool!
🗓️ Launches Nov 5 on @kaggle.com
More Info: uio-bmi.github.io/adaptive_imm...
October 22, 2025 at 7:09 PM
📢 We are announcing the Adaptive Immune Profiling Challenge 2025!
Can you predict immune state labels from adaptive immune receptor repertoires?
💰 $10,000 prize pool!
🗓️ Launches Nov 5 on @kaggle.com
More Info: uio-bmi.github.io/adaptive_imm...
Can you predict immune state labels from adaptive immune receptor repertoires?
💰 $10,000 prize pool!
🗓️ Launches Nov 5 on @kaggle.com
More Info: uio-bmi.github.io/adaptive_imm...
1/12 🧵 Quick thread: a heads-up for anyone working with high-dimensional omics data and multiple testing — FDR correction can sometimes lie to you. A thread based on our recent publication in @GenomeBiology : doi.org/10.1186/s130...
Beware of counter-intuitive levels of false discoveries in datasets with strong intra-correlations - Genome Biology
The false discovery rate (FDR) controlling method by Benjamini and Hochberg (BH) is a popular choice in the omics fields. Here, we demonstrate that in datasets with a large degree of dependencies betw...
doi.org
August 18, 2025 at 9:46 PM
1/12 🧵 Quick thread: a heads-up for anyone working with high-dimensional omics data and multiple testing — FDR correction can sometimes lie to you. A thread based on our recent publication in @GenomeBiology : doi.org/10.1186/s130...
Reposted by Chakravarthi Kanduri
Happy to share our new collaborative work! 🚨 We analyzed 2250 TCR repertoires to uncover how HLA risk alleles shape immune autoreactivity in T1D. T1D-specific HLA-motifs were also validated in pancreatic lymph nodes (pLN) & spleen. 🧬🧵 #T1D #Immunology #TCR 1/9
December 14, 2024 at 11:05 AM
Happy to share our new collaborative work! 🚨 We analyzed 2250 TCR repertoires to uncover how HLA risk alleles shape immune autoreactivity in T1D. T1D-specific HLA-motifs were also validated in pancreatic lymph nodes (pLN) & spleen. 🧬🧵 #T1D #Immunology #TCR 1/9
Reposted by Chakravarthi Kanduri
Machine learning on immune receptors/repertoires is an exponentially expanding field, but labeled data to benchmark ML methods are missing. We address this need with our new simulation framework LIgO. www.biorxiv.org/content/10.1...
Led by @mchernigovskaya.bsky.social and Milena Pavlović.
Led by @mchernigovskaya.bsky.social and Milena Pavlović.
🎉 Happy to share my new preprint in which we present LIgO — a powerful tool to simulate adaptive immune receptor (AIR) and repertoire (AIRR) data for the development and benchmarking of AIRR-based ML
www.biorxiv.org/content/10.1...
Try LIgO now! 🚀
github.com/uio-bmi/ligo
www.biorxiv.org/content/10.1...
Try LIgO now! 🚀
github.com/uio-bmi/ligo
October 24, 2023 at 12:22 PM
Machine learning on immune receptors/repertoires is an exponentially expanding field, but labeled data to benchmark ML methods are missing. We address this need with our new simulation framework LIgO. www.biorxiv.org/content/10.1...
Led by @mchernigovskaya.bsky.social and Milena Pavlović.
Led by @mchernigovskaya.bsky.social and Milena Pavlović.