Synopsis of Social media discussions
Overall, the discussions reveal a positive reception, emphasizing the innovative integration of machine learning with enhancer research. Words like 'decoding,' 'high-throughput,' and hashtag references to AI suggest excitement and recognition of technological importance. The tone is professional yet optimistic, highlighting the article’s potential to deepen understanding and accelerate discoveries in gene regulation.
Agreement
Moderate agreementMost discussions acknowledge the importance of advancing understanding of enhancer complexity through innovative methods like machine learning, suggesting a general agreement with the publication's contribution.
Interest
High level of interestThe posts express curiosity about the field, with multiple mentions of keywords like 'machine learning' and 'high-throughput discovery,' indicating a high level of interest.
Engagement
Moderate level of engagementParticipants reference the methods and implications of the research, such as the role of AI and synthetic biology, showing they are engaging beyond superficial mention.
Impact
Moderate level of impactThe perception of the publication's impact is moderate, with comments hinting at its potential to inform future research but not explicitly claiming it will revolutionize the field.
Social Mentions
YouTube
1 Videos
Bluesky
1 Posts
42 Posts
Metrics
Video Views
17
Total Likes
150
Extended Reach
75,472
Social Features
44
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Decoding Enhancer Complexity Using Machine Learning and High-Throughput Methods
Enhancers are DNA elements that regulate gene expression, but their complex structure makes them difficult to understand. Advances in machine learning and synthetic biology are providing new tools to explore their functions.
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RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Xiaojing _Li
@Juliana68725029 (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Merisa Cenanovic
@MerisaCenanovic (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Wengang Zhang
@WZ19911 (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Gaurav Jain
@gauravjain49 (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Phenomics
@Phenomics_J (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Toheeb A. Jumah
@toheebjumah (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Saubashya Sur, PhD
@SaubashyaSur (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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AiiHC International Ltd.
@AiihcLtd2022 (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Winty
@winty_updates (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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KarliStorm
@StormKarli (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Thussapon Punjad
@VolThuss (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 22, 2023
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Roberto Giovannoni
@rgiovannoni (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 21, 2023
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Ajitesh Shukla
@ajitesh_shukla7 (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 21, 2023
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Seungho Oh @seunghooh@genomic.social
@dancewithsun (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 21, 2023
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Robin Canac
@robin_canac (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 21, 2023
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Umesh Bhattarai
@ChemoUmesh (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 21, 2023
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Cheng Tan
@OiniL (Twitter)RT @BioDecoded: Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD…
view full postMay 21, 2023
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BioDecoded
@BioDecoded (Twitter)Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology https://t.co/yoOqyIzHnD #MachineLearning https://t.co/N7J9hSxaj8
view full postMay 21, 2023
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Victor V. Lobanenkov
@boris_ctcf (Twitter)Decoding enhancer complexity with machine learning and high-throughput discovery. Genome Biol 24, 116 (May 2023). https://t.co/vu3gLqDw9q https://t.co/SECw35Qklz
view full postMay 16, 2023
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Cheng Tan
@OiniL (Twitter)RT @em6wong:
view full postMay 14, 2023
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Mithun Mitra
@mitramith (Twitter)RT @em6wong:
view full postMay 14, 2023
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Victor Chang Cardiac Research Institute
@VictorChangInst (Twitter)RT @em6wong:
view full postMay 14, 2023
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black_box
@blackbox_pi (Twitter)RT @em6wong:
view full postMay 14, 2023
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José Luis Ruiz
@pepeluisrr (Twitter)RT @em6wong:
view full postMay 14, 2023
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Gbọ́láhàn
@GB_sci (Twitter)RT @em6wong:
view full postMay 14, 2023
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Brian Dean
@bdean_ (Twitter)RT @em6wong:
view full postMay 14, 2023
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Prof Mary J. O'Connell
@Evol_Molly (Twitter)RT @em6wong:
view full postMay 14, 2023
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Jakke Neiro
@JakkeNeiro (Twitter)RT @em6wong:
view full postMay 14, 2023
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Kailong Li Lab
@kailong_li_lab (Twitter)RT @em6wong:
view full postMay 14, 2023
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D.Polychronopoulos
@dpolychr2 (Twitter)RT @em6wong:
view full postMay 14, 2023
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Zixuan (Eleanor) Zhang
@elezzx2020 (Twitter)RT @em6wong:
view full postMay 14, 2023
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Umut. Dişel
@UmutDisel (Twitter)RT @em6wong:
view full postMay 14, 2023
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Jordan Russell, Ph.D
@russelltyjor (Twitter)RT @em6wong:
view full postMay 14, 2023
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Michael Love
@mikelove (Twitter)RT @em6wong:
view full postMay 14, 2023
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Felipe Aguilera @faguilgen.bsky.social
@faguilgen (Twitter)RT @em6wong:
view full postMay 14, 2023
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Joseph Powell
@drjosephpowell (Twitter)RT @em6wong:
view full postMay 14, 2023
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Josephine Bowles
@JosBowles (Twitter)RT @em6wong:
view full postMay 14, 2023
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Rhys Allan
@rhyscienceallan (Twitter)RT @em6wong:
view full postMay 14, 2023
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Emily Wong
@em6wong (Twitter)May 14, 2023
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Victor Chang Cardiac Research Institute
@VictorChangInst (Twitter)#RecentlyPublished Decoding enhancer complexity with machine learning and high-throughput discovery https://t.co/o3CcQlYzxy
view full postMay 13, 2023
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Victor Chang Cardiac Research Institute
@victorchang.edu.au (Bluesky)#RecentlyPublished Decoding enhancer complexity with machine learning and high-throughput discovery pubmed.ncbi.nlm.nih.gov/37173718/?utm_…
view full postMay 13, 2023
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AI News Feed
@AINewsFeed (Twitter)Decoding enhancer complexity with machine learning and high-throughput discovery | Genome Biology ... https://t.co/BPBw02eEo4 #ai #ml #dl
view full postMay 12, 2023
Abstract Synopsis
- Enhancers are DNA elements that regulate when and where genes are expressed, but their complex structure and overlapping functions make it hard to understand how they work.
- The article reviews current knowledge on how enhancers are organized and have evolved, highlighting the various factors that affect their function.
- Advances in machine learning and synthetic biology offer promising new tools for exploring and clarifying the complexities of enhancer roles in gene expression.
Dan (田上英明)
@gatnad1 (Twitter)