Krishnan Lab

135 posts

Krishnan Lab banner
Krishnan Lab

Krishnan Lab

@KrishnanLab

Laboratory for Biomedical Data Science and Computational Genomics at @CUBiomedInfo and @CUHealthAI | @[email protected]

CU Anschutz Med Campus 가입일 Temmuz 2016
28 팔로잉260 팔로워
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
📢#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 tweet media
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

English
0
13
50
13.2K
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
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… 🧵👇🏼
English
2
5
21
2.7K
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
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.

English
1
4
13
2K
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
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

English
1
8
14
4.6K
Krishnan Lab 리트윗함
CU Department of Biomedical Informatics (DBMI)
CU Department of Biomedical Informatics (DBMI)@CUBiomedInfo·
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

English
1
5
17
2K
Krishnan Lab 리트윗함
Subu Ramanathan
Subu Ramanathan@SPRamanathan·
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!
English
1
18
19
0
Krishnan Lab 리트윗함
CU Department of Biomedical Informatics (DBMI)
CU Department of Biomedical Informatics (DBMI)@CUBiomedInfo·
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

English
0
4
10
0
Krishnan Lab 리트윗함
Nature Communications
Nature Communications@NatureComms·
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
English
0
2
11
0
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
🎇 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…
English
0
8
11
0
Krishnan Lab 리트윗함
Nature Communications
Nature Communications@NatureComms·
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
English
0
7
15
0
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
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…
English
3
21
29
0
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
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.

English
0
3
5
0
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
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.

English
0
3
4
0
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
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.

English
0
1
2
0
Krishnan Lab 리트윗함
Arjun Krishnan
Arjun Krishnan@compbiologist·
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.

English
0
4
4
0

탐색

@yhbioinfo @ChrisAMancuso @ProfMilenkovic @FASEBorg @ontowonka @MonarchInit @CUAnschutz @compbiologist