DREAMchallenges
@DR_E_A_M
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DREAM is the Dialogue for Reverse Engineering Assessments and methods. @dreamchallenges.bsky.social
Joined February 2011
🧠Can AI agents predict #Alzheimers? Participate in our DREAM challenge agentic track to find out! We provide remarkable training + test data for the agents: snRNA-seq, IHC, stage, etc https://t.co/jeZ49pQ00I Also co-submit your agent paper to https://t.co/iRy3tzaQkC
@Sagebio
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The @NSF just announced the #microbiome dataset from the @DR_E_A_M challenge (led by our @MarchofDimes prematurity research center at UCSF) as 1 of 10 datasets for the #NAIRR Pilot, selected through a competitive NSF-led process with an interagency group of 12 federal agencies!
Today, NSF announces the launch of the NSF Integrated Data Systems and Services program and the selection of 10 datasets for integration into the National Artificial Intelligence Research Resource Pilot to advance America's AI infrastructure. Learn more: https://t.co/cCNgxIWzsL
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New DREAM challenge on Alzheimer Disease is out!
Excited to announce the SEA-AD DREAM on @SynapseOrg! Join the global research community to tackle AD using single cell data and innovative AI/ML solutions. Let’s accelerate discovery together! https://t.co/8CIjLs4mmz
@AllenInstitute @DR_E_A_M @Sagebio @SirotaLab @UCSF_BCHSI
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with keynotes of no other than @BoWang87 and @anshulkundaje
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At DREAM we have been benchmarking & discussing methods in biology for the past 15 years, but foundation models are a different beast, come join us for a special session at ISMB on this topic Monday July 21st 2pm @EBItraining @ChanZuckerberg @TempusAI
https://t.co/UHUUpIf1bd
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The 3rd DREAM challenge on olfaction prediction is on!
With a contemporary smartphone, capturing, transmitting, and replicating sounds and visuals is a breeze, yet replicating scents remains elusive. If you want to change this, consider joining the 2025 @DR_E_A_M Olfaction Challenge at https://t.co/sNJGvwkZ5j.
@jeriscience
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Big thank to my amazing PhD student Tushar Patel for his work and to Steve Hoffmann for his support and productive discussion! It was again a lot of fun to participate at the @DR_E_A_M challenge! Many thanks to the organisers! Stay tuned for the upcoming publication!
FLI Team Achieves Success in International DREAM Challenge on Placental Aging. 🎉 Team ANTS from the @Leibniz_FLI in #Jena achieved second place in the global Placental Clock DREAM Challenge. 🥈 Congratulations! Read more: https://t.co/bi5F1bq2bd
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@SMusalula from @UCTHealthSci @UCTIDM presenting about his #inspired @DR_E_A_M Challenge and his learning in the #impossible Sub-Challenge #Respect
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Here a tweetorial of the @DR_E_A_M results we published in @NatureBiotech
nature.com
Nature Biotechnology - A benchmarking competition improves tools that predict how regulatory regions control gene expression.
Interested in sequence-based gene regulation models? Updated tweetorial for the final version of the paper describing the Random Promoter DREAM Challenge 2022, wherein we make field-leading cis-regulatory models.
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1/If you're training ML models on DNA sequences, u need to take a look at our new paper in @NatureBiotech! It contains analysis done by over 300 researchers, tells the story of how we built state-of-the-art for short regulatory DNA and developed a framework to keep improving
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Great achievement from the team! Thanks @CarldeBoerPhD, @jeriscience @muntakim_rafi , @DariaNogina , @dmitrypenzar , @ZinkevichA , @_e_d_v_ , @jakealbrecht , @halfacrocodile
A community effort to optimize sequence-based deep learning models of gene regulation https://t.co/g9CvuyLa0Q
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Glad to see this beast out in the wild, incredible collab. with @CarldeBoerPhD's lab on modeling promoter sequences with advanced DNNs. Congratulations to the team incl. @dmitrypenzar @DariaNogina @ZinkevichA. Spoiler: expect more wonders from Dmitry's LegNet later this year.
Paper is finally out! DREAM million promoter prediction challenge!
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Paper is finally out! DREAM million promoter prediction challenge!
A community effort to optimize sequence-based deep learning models of gene regulation https://t.co/g9CvuyLa0Q
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Join us for the Ai for Drug Discovery Open Innovation Forum where I will be leading a breakout session on crowdsourcing!
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UM Team won the Olfactory Mixtures Prediction Challenge | U-M LSA Department of Statistics
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We had a great conference session on the Placental Clock DREAM challenge at the RSG meeting at the University of Madison, Wisconsin. The top performers were Herdiantri Sufryana (right), Tushar Patel (middle) and Ibrahim Alsaggaf (screen). Domain knowledge won the day!
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