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  1. prije 8 sati

    The Pan-Cancer Analysis of Whole Genomes (PCAWG) study just published today with a total of 7 publication on - read more here:

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  2. prije 8 sati

    Hands-on ? here a great list of ML, NLP, and Python Tutorials  - by

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  3. proslijedio/la je Tweet
    prije 18 sati

    Unsupervised Deep Learning Framework VAEMDA can avoid noise from the random selection of negative samples and reveal associations between miRNAs and diseases from the perspective of data distribution. Via China University of Mining and Technology:

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  4. prije 18 sati

    Unsupervised Deep Learning Framework VAEMDA can avoid noise from the random selection of negative samples and reveal associations between miRNAs and diseases from the perspective of data distribution. Via China University of Mining and Technology:

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  5. proslijedio/la je Tweet
    4. velj

    Spots for "Master R/Tidyverse" workshop in Brno filled up in 1 hour. Crazy! But you can still sign up to Prague, March 10-11, Based on materials from Remastering ‘Master the Tidyverse’ course by . (thanks a bunch)

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  6. 4. velj

    DeepMF, a deep tolerant to noisy and missing values, is able to discover cancer subtype on mRNA, miRNA, and protein profiles of four cancer data sets. Via .

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    4. velj

    Chcete přispět k lepší diagnostice genetických onemocnění? Sbíráme vzorky s cílem zkoumat genetickou informaci 1000 Čechů. V čele projektu Analýza českých genomů pro teranostiku stojí Šárka Pospíšilová z . Proč je to dobré a čím se Češi liší?

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  8. proslijedio/la je Tweet
    3. velj
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  9. 3. velj

    cDeepbind is a model trained on the sequence and with or without access to the secondary structure of the protein. Via See the results obtained with this context sensitive model on :

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  10. proslijedio/la je Tweet
    3. velj

    . received ! He presented his work “Analysis of Mutational Landscape in Systemic Anaplastic Large Cell Lymphoma Identifies Novel Prognostic Markers” at the conference in Prague & was awarded in the category of young haematologists. Congrats!

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  11. proslijedio/la je Tweet
    31. sij

    <2 weeks left to apply to our 2 postdoc positions Human Organoid Models Integrative Center we are looking for enthusiastic innovators to spearhead organoid technology across developmental biology and bioengineering thread please RT

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  12. 31. sij

    Image-adaptive generative adversarial networks (IAGAN) based reconstruction method was applied by teams from and to reconstruct images from undersampled measurements.

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  13. 30. sij

    Review presenting the progress of ncRNA type classification - lncRNA, lincRNA, circular RNA and small ncRNA, and a comprehensive comparison of six deep learning based classification methods published in the past two years:

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  14. 30. sij

    The new release 1.0.0 as well as its documentation are simply ! Check it out: Thank you

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  15. 29. sij

    -based MLMDA predicts the association of miRNAs and diseases using k-mer sparse matrix to extract miRNA sequence information combined with miRNA functional similarity, disease semantic similarity and Gaussian interaction profile kernel similarity.

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  16. 28. sij

    Team from , Jiangsu University of Science Technology, and HuiShan People’s Hospital of Wuxi applied and to predict human pre-miRNAs taking as input combination of the sequences with the predicted secondary structures of pre-miRNAs.

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  17. proslijedio/la je Tweet
    28. sij

    Meet Gabriel Demo, a new Research Group Leader at ! His main fields of research interest are bacterial infection, translation control, and RNA biology. Read the interview here:

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  18. proslijedio/la je Tweet
    27. sij
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  19. 27. sij

    DeepBind based on deep can discover new patterns even when their locations within sequences are unknown. Traditional neural networks require enormous amount of training data to accomplish this task.

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  20. proslijedio/la je Tweet
    27. sij
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