Today's #interestingread explores why 𝐩𝐫𝐞𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐛𝐢𝐨𝐭𝐞𝐜𝐡 𝐝𝐚𝐭𝐚 poses unique challenges for machine learning. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0h7WHb0

Today's #interestingread explores 𝑰𝒏𝒕𝒆𝒈𝒓𝑨𝑶, an AI framework transforming multi-omics data integration for precision medicine. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0hKdkn0

Today's #interestingread explores how maternal nutrition shapes infant gut microbiome development. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0hMHlR0

Today's #interestingread explores 𝗙𝗦-𝗣𝗟𝗦, a new method that identifies minimal biomarker signatures from clinical omics data without needing library size normalization. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0j3f4c0

The Human BioMolecular Atlas Program (HuBMAP) is advancing the creation of a comprehensive 3D Human Reference Atlas (HRA) to map the healthy adult human body. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0j3jPm0

Today's #interestingread delves into the intricate world of microglia, the brain's resident immune cells, and their diverse roles in development, maintenance, and disease. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqSZt0

Our # interestingread today is about the validation of 𝗧𝘂𝘁𝗶𝘃𝗶𝗮™, a risk assessment tool to 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗲𝗮𝗿𝗹𝘆 𝗮𝗰𝘂𝘁𝗲 𝗿𝗲𝗷𝗲𝗰𝘁𝗶𝗼𝗻 (𝗔𝗥) in kidney transplant recipients. 🧬🩸 📖 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqHzp0

Today's #interestingread explores how 𝗘𝗽𝗶𝘁𝗵𝗲𝗹𝗶𝗮𝗹-𝘁𝗼-𝗠𝗲𝘀𝗲𝗻𝗰𝗵𝘆𝗺𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 (𝗘𝗠𝗧). 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqzQD0

Our #interestingread for today explores a breakthrough at the intersection of 𝗔𝗜 𝗮𝗻𝗱 𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗯𝗶𝗼𝗹𝗼𝗴𝘆. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqTdg0

Time for another #interestingread! This study introduces the 𝗠𝗜𝗖𝗿𝗢𝗡𝗦 functional connectomics dataset that intricately maps the functional and structural connectivity of the mouse visual cortex. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqy_g0

Today’s #interestingread dives into how 𝗲𝗻𝘀𝗲𝗺𝗯𝗹𝗲 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 can supercharge the analysis of complex biological systems by integrating multi-omics data. 🌱🧬 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqRs20

Mondays are for #interestingreads! 𝗖𝗼𝗱𝗼𝗻𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿, a context-aware neural network, addresses the complexities of codon usage bias and provides a versatile tool for synthetic biology. 🔗 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙨𝙩𝙪𝙙𝙮: eu1.hubs.ly/H0jqyM80

Today's #interestingread introduces 𝘀𝗰𝗣𝗥𝗜𝗡𝗧, a model that leverages transformer-based architecture to infer gene regulatory networks from single-cell data. 🔗 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqPtD0

Curious how AI is unlocking the secrets of our genome? 🧬 Today’s #interestingread looks at 𝗔𝗹𝗽𝗵𝗮𝗚𝗲𝗻𝗼𝗺𝗲. 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0lnKbv0

🌟 Today's #interestingread dives into the world of single-cell RNA sequencing! This study evaluates the practical aspects and performance of various commercial single-cell RNA sequencing technologies. 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0lxzql0

Our #interestingread for today is all about advancing biological language modeling! 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚 𝙩𝙤 𝙚𝙭𝙥𝙡𝙤𝙧𝙚 𝙩𝙝𝙚 𝙛𝙪𝙩𝙪𝙧𝙚 𝙤𝙛 𝙗𝙞𝙤𝙡𝙤𝙜𝙞𝙘𝙖𝙡 𝙡𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙢𝙤𝙙𝙚𝙡𝙞𝙣𝙜: eu1.hubs.ly/H0lxB3y0

Today's #interestingread takes a look at 𝗘𝘃𝗶𝗱𝗲𝗻𝗰𝗲 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗼𝗿, a generative AI tool for 𝗿𝗮𝗿𝗲 𝗱𝗶𝘀𝗲𝗮𝘀𝗲 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗶𝘀. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙥𝙧𝙚𝙥𝙧𝙞𝙣𝙩 𝙝𝙚𝙧𝙚: eu1.hubs.ly/H0lTfBP0

This #interestingread presents a benchmark for 40 single-cell multi-modal integration algorithms involving modalities of DNA, RNA, protein and spatial omics for paired, unpaired and mosaic datasets. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚 𝙝𝙚𝙧𝙚: eu1.hubs.ly/H0lThsv0

In our #interesting read today, researchers, using in situ cryo‑electron tomography across four mammalian cell lines, found hemifusomes at the cell periphery, making up ~10% of vesicular organelles. 🔬𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0lTgtZ0

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