CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl5h1x
CustOmics: A versatile deep-learning based strategy for multi-omics integration.
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Sep 2022 – Jun 2023Where it's discussed
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X / Twitter24 posts
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YouTube1 videos
AI synopsis
What people are saying
The overall digital discussions reflect a strong interest in the technical innovation and applications of CustOmics, exemplified by comments highlighting the use of deep-learning strategies, interpretability features, and implications for cancer research. The tone varies from admiration to cautious optimism, with some participants referencing specific techniques like Shapley explanations and discussing the potential of the approach to advance multi-omics integration challenging traditional methods.
Most discussions acknowledge the significance of the CustOmics approach, viewing it as a valuable contribution to multi-omics integration, although some are cautious about its novelty.
The posts demonstrate high interest, with frequent mentions of deep learning, multi-omics, and potential applications in biological research, indicating a keen engagement with the topic.
Posts reference technical aspects such as the model's architecture and interpretability methods, showing moderate to deep engagement rather than superficial mentions.
The discussions suggest that the methodology could influence future research, especially in cancer data analysis, indicating a moderate perceived impact.
Abstract in brief
- The paper discusses a new deep learning strategy called CustOmics for integrating multiple types of omics data (like genetic, protein, and other biological data) to better understand diseases and build predictive models.
- It introduces a two-phase approach where the model first trains independently on each data source and then learns how these sources interact, leading to more efficient use of all data types and more accurate predictions, especially for cancer classification and survival prediction.
- Additionally, the method emphasizes interpretability by adapting to Shapley additive explanations, allowing researchers to understand how different data sources contribute to the predictions, with performance demonstrated across various cancer datasets.]
Top posts
Most liked on X and BlueskyCustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/j1CA5Nd7c5 by Hakim Benkirane et al. #DeepLearning #Autoencoder
CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43qgMT https://t.co/Ow5yV7G0pN
RT @Deep__AI: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/j1CA5Nd7c5 by Hakim Benkirane et…
CustOmics: A versatile deep-learning based strategy for multi-omics integration. (arXiv:2209.05485v1 [https://t.co/RzFGwRLevZ]) #machinelearning https://t.co/CAAalOFuyj
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
All mentions
CustOmics: Deep Learning Strategy for Multi-Omics Data Integration
CustOmics is a deep learning approach for integrating various omics data types to enhance disease understanding and prediction accuracy. The model first trains on individual data sources, then learns their interactions…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
A versatile deep-learning based strategy for multi-omics integration #Learning via https://t.co/6qPcNWrkFh https://t.co/LLsR67EMZl
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
A versatile deep-learning based strategy for multi-omics integration #Learning via https://t.co/yNOfVDx5DP https://t.co/xo2bErz3Mc
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43qgMT https://t.co/Ow5yV7G0pN
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
RT @razoralign: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl…
CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/IkIk43pIXl https://t.co/tyFAfl5h1x
CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/0o5UWaCQh1
RT @Deep__AI: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/j1CA5Nd7c5 by Hakim Benkirane et…
RT @Deep__AI: CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/j1CA5Nd7c5 by Hakim Benkirane et…
CustOmics: A versatile deep-learning based strategy for multi-omics integration https://t.co/j1CA5Nd7c5 by Hakim Benkirane et al. #DeepLearning #Autoencoder
CustOmics: A versatile deep-learning based strategy for multi-omics integration #QuantitativeBio #bio #biology #arxiv https://t.co/wL7xb7qTsj
CustOmics: A versatile deep-learning based strategy for multi-omics integration. (arXiv:2209.05485v1 [https://t.co/RzFGwRLevZ]) #machinelearning https://t.co/CAAalOFuyj