Sajib Acharjee Dip @_sajib_006
CS Ph.D. Student, Virginia Tech Joined November 2023-
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CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types 1. A novel new method, CFM-GP, has been introduced to predict gene perturbation effects across diverse cell types using a unified model. This approach eliminates the need for separate models…
Sajib Acharjee Dip's publications at dblp.org/pid/372/5329 #dblp
PathoLM is in GitHub now: github.com/Sajib-006/Path… Read the paper: proceedings.mlr.press/v261/dip24a.ht…
DeepSeek-R1 is great, but it still does not handle genomics yet :) 🚀 We’re thrilled to announce that IntegrAO (pronounced "integral") 🧬🔬—our new multi-omics integration framework—has been published in Nature Machine Intelligence! 📑 Paper: nature.com/articles/s4225… 💻 Code:…
Our paper "Assessing ChatGPT’s Code Generation Capabilities with Short vs Long Context Programming Problems" was accepted at the NSysS'24 conference and published in ACM Proceedings. #ChatGPT #GPT4 #CodeGeneration #Context #ProblemSolving dl.acm.org/doi/full/10.11…
🎉 Two multimodal molecular learning papers at ICLR 2025! 1️⃣ Llamole: Multimodal large language models for top-down synthesizable inverse molecular design: arxiv.org/abs/2410.04223 2️⃣ InfoAlign: Learning molecular representations with cellular responses: arxiv.org/abs/2406.12056
When ChatGPT first launched, I told a Googler that Google was facing an unprecedented challenge and a new paradigm centered around LLMs would emerge. He disagreed then. Now, he’s left Google to start his own LLM company. When GPT-4o was established, I told a friend that…
DeepAge: Harnessing Deep Neural Network for Epigenetic Age Estimation From DNA Methylation Data of human blood samples biorxiv.org/cgi/content/sh…
DeepAge: Harnessing Deep Neural Network for Epigenetic Age Estimation FromDNA Methylation Data of human blood samples biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
Find our new paper on biological age estimation from DNA methylation data: biorxiv.org/content/10.110…
Biologists taking machine learning techniques from computer vision and nlp
🚨Open PhD position at @HelmholtzMunich @TU_Muenchen in Structural Biology. Apply by October 1! The project involves an integrative approach using #NMR 🧲, AI-based protein structure prediction 🖥️ , and cryo-EM ❄️ jobs.helmholtz-muenchen.de/jobposting/37a…
Dive into our latest review of cutting-edge large language models specialized in biomedicine! We cover three essential types of biomedical data: 1. Textual Data 📝 2. Biological Sequences 🧬 3. Brain Signals 🧠 #Biomedicine #AI #DataScience arxiv.org/abs/2403.15673
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
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