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Arjun Krishnan@compbiologist·6 Eyl

📢#MLCB2024 Check out our recent review to break into translational biomedicine! We take a deep dive into methods for comparing & transferring data & knowledge across species, and highlight gaps/challenges. Details on implementation, data, & benchmarks: github.com/krishnanlab/cr…

Arjun Krishnan@compbiologist

Preprint 🚨 A review state-of-the-art computational strategies for cross-species knowledge transfer in biomedicine 💻👩‍🦰🐭🐟🪰🪱🧬🫁⚕️ Led by an excellent team at @KrishnanLab: @yhbioinfo, @ChrisAMancuso, & @kaylainbio in collab w/ @FishEvoDevoGeno 🧵 arxiv.org/abs/2408.08503

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·29 Ağu

Preprint 🚨 A review state-of-the-art computational strategies for cross-species knowledge transfer in biomedicine 💻👩‍🦰🐭🐟🪰🪱🧬🫁⚕️ Led by an excellent team at @KrishnanLab: @yhbioinfo, @ChrisAMancuso, & @kaylainbio in collab w/ @FishEvoDevoGeno 🧵 arxiv.org/abs/2408.08503

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·10 Haz

1/ Excited to share Txt2onto 2.0, an approach combining language models & machine learning to annotate public samples & studies with standardized tissue & disease terms with a focus on interpretability & explainability! 📜 doi.org/10.1101/2024.0… 💻 github.com/krishnanlab/tx… 🧵👇🏼

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Arjun Krishnan@compbiologist·19 Eyl

Excited to see fruits of a huge community effort! Thanks to @ProfMilenkovic for the leadership and the opportunity to be a part of this 🙌🏽

Dr. Tijana Milenkovic@ProfMilenkovic

Our review+perspective paper on "Current and future directions in network biology" is online (arxiv.org/abs/2309.08478). This has been a Herculean effort by many co-authors, thank you all! Special thanks to @marinkazitnik, @_michellemli, @aydin_wells, and all section coordinators.

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·2 Haz

Excited to present new work led by @ChrisAMancuso: GenePlexusZoo, a computational framework to improve discovering new genes linked to pathways, phenotypes, & diseases both within & across species by combining molecular networks from multiple species w/ #machinelearning. [1/n]

bioRxiv@biorxivpreprint

Joint representation of molecular networks from multiple species improves gene classification biorxiv.org/cgi/content/sh… #bioRxiv

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NIH Office of Data Science Strategy@NIHDataScience·21 Şub

🎉CONGRATS to the winners of the @FASEBorg DataWorks! Prize🎉 🔁Grand Prize, Data Reuse: BrainChart — "Brain Charts for the Human Lifespan" 🤝Grand Prize, Data Sharing: N3C — "Democratizing Access to Clinical Data" Check out the winning projects: datascience.nih.gov/director/direc… #NIHData

NIH Office of Data Science Strategy tweet media

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CU Department of Biomedical Informatics (DBMI)@CUBiomedInfo·21 Şub

Congrats to DataWorks! Challenge winners from our department! #N3C, led by @ontowonka, PhD, won the grand prize for #DataSharing, @MonarchInit, won the Distinguished Achievement Award for #Data Reuse, and @KrishnanLab PhD, won the Significant Achievement Award for Data Reuse!

NIH Office of Data Science Strategy@NIHDataScience

🎉CONGRATS to the winners of the @FASEBorg DataWorks! Prize🎉 🔁Grand Prize, Data Reuse: BrainChart — "Brain Charts for the Human Lifespan" 🤝Grand Prize, Data Sharing: N3C — "Democratizing Access to Clinical Data" Check out the winning projects: datascience.nih.gov/director/direc… #NIHData

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Krishnan Lab รีทวีตแล้ว

Subu Ramanathan@SPRamanathan·6 Ara

The Ramanathan Lab is looking for a Research Tech to join us! We are a young and exciting group interested in how cells of diverse shapes and sizes form functional tissue. Please DM if you are interested in the position or want to know more! unmc.peopleadmin.com/postings/76294 Please RT!

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Krishnan Lab รีทวีตแล้ว

CU Department of Biomedical Informatics (DBMI)@CUBiomedInfo·6 Ara

Three @CUAnschutz teams are DataWorks prize finalists! Learn more about @KrishnanLab, @MonarchInit, and #NationalCovidCohortCollaborative's projects and vote for one here👇

NIH Office of Data Science Strategy@NIHDataScience

Learn about the 20 DataWorks! Prize finalists and how they have used data sharing or reuse to advance human health. Finalists are eligible for $500,000 prize purse and people’s choice recognition awards. #NIHData #DataScience herox.com/dataworks

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CU Department of Biomedical Informatics (DBMI)@CUBiomedInfo·2 Ara

A new software created by @compbiologist, PhD, associate professor of biomedical informatics at @CUMedicalSchool, and his team, annotates genomics samples based on unstructured sample text descriptions, making them easier for researchers to find and use.👇 nature.com/articles/s4146…

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Nature Communications@NatureComms·2 Ara

The @KrishnanLab develops an approach combining natural language processing and machine learning to infer the source tissue of public genomics samples based on their plain text descriptions, making these samples easy to discover and reuse @compbiologist go.nature.com/3UIi9lE

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·2 Ara

This wk, @kaylainbio defended her brilliant PhD work on using #transcriptomes, #networks, & #machinelearning to probe age- & sex-specificity 🎉 Being the first grad student from @KrishnanLab, Kayla has set a v. high bar! Congratulations Dr. Johnson! We're very proud of you!!

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·1 Ara

🎇 We're one of 20 finalists for the DataWorks! Prize for our work on: Removing metadata barriers to promote data reuse Methods that address unstructured & missing metadata that are barriers to discovering & reusing public omics data. Learn more & VOTE! herox.com/dataworks/roun…

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Nature Communications@NatureComms·11 Kas

The @KrishnanLab develops an approach combining natural language processing and machine learning to infer the source tissue of public genomics samples based on their plain text descriptions, making these samples easy to discover and reuse @compbiologist go.nature.com/3UIi9lE

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Krishnan Lab รีทวีตแล้ว

Clint Miller@clintomics·8 Kas

Automated NLP and ML approach to annotate samples to their tissue-of-origin by modeling unstructured metadata. Improved performance and scalability compared to MetaSRA ⁦@NatureComms⁩ ⁦@compbiologist⁩ nature.com/articles/s4146…

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Arjun Krishnan@compbiologist·17 Eki

The Computational Biosciences PhD Program @CUAnschutz is holding an Info Session on Fri, Oct. 21 for interested students to get to know the program! Plus, all registered attendees will receive an application fee waiver!! Please spread the word. graduateschool.cuanschutz.edu/events-and-res…

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·12 Tem

Two posters in @MlcsbC #ISMB2022 @NeutralYh | W-058 Cross-species transcriptome-based regression to discover model equivalents of human samples & genes. w/ @ingo_braasch @filjev46 | W-067 Determining the optimal embedding technique for mapping transcriptomes to ontologies

Arjun Krishnan@compbiologist

We have a bunch of cool projects to share @ #ISMB2022! #TextMining #NetBio @OBF_BOSC @TransMedISMB @MlcsbC #BioVis Interested in working with? Chat with our team! They are great people and you can also learn about how it is to work with us.

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·12 Tem

We have 3 posters at @TransMedISMB #ISMB2022 @kaylainbio | N-023 Age- and sex-specific gene signatures and networks @slepphickey | N-024 Chronic inflammation network signatures in complex diseases @KewalinSamart | Virtual Drug repurposing for infectious diseases w/ @janani137

Arjun Krishnan@compbiologist

We have a bunch of cool projects to share @ #ISMB2022! #TextMining #NetBio @OBF_BOSC @TransMedISMB @MlcsbC #BioVis Interested in working with? Chat with our team! They are great people and you can also learn about how it is to work with us.

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·12 Tem

We have 2 posters at #NetBio #ISMB2022 @ChrisAMancuso | L-016 Jointly modeling networks from multiple species to improve gene classification Alex McKim | L-017 Module-based prediction improves network-based prioritization of genes associated w/ complex traits & diseases

Arjun Krishnan@compbiologist

We have a bunch of cool projects to share @ #ISMB2022! #TextMining #NetBio @OBF_BOSC @TransMedISMB @MlcsbC #BioVis Interested in working with? Chat with our team! They are great people and you can also learn about how it is to work with us.

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Krishnan Lab รีทวีตแล้ว

Arjun Krishnan@compbiologist·12 Tem

On Wed, July 13, @ChrisAMancuso is giving a talk in @OBF_BOSC #BOSC on "GenePlexus: A web server and Python package for gene discovery using network-based machine learning" Paper: doi.org/10.1093/nar/gk… Webserver: geneplexus.net Repo: github.com/krishnanlab/ge… #ISMB2022

Arjun Krishnan@compbiologist

We have a bunch of cool projects to share @ #ISMB2022! #TextMining #NetBio @OBF_BOSC @TransMedISMB @MlcsbC #BioVis Interested in working with? Chat with our team! They are great people and you can also learn about how it is to work with us.

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