Top Tweets for #PLOSCompBio
#PLOSCompBio: Decoding biomolecular condensate dynamics: an energy landscape approach https://t.co/fOJuG3dAGU
修論を上手くやるコツとのことですが、日本の卒研でもある程度は参考になりそう
#PLOSCompBio: Ten simple rules to complete successfully a computational MSc thesis project https://t.co/FG9UHLYfE7
#PLOSCompBio: Ten simple rules for innovative dissemination of research https://t.co/yEwdm7qfDE
#PLOSCompBio:
Spiking, neuro-mechanical CPG model ...
https://t.co/FOVjnPs4ul
No hippocampus here :-), but CPG people will hopefully enjoy this.
Also, great to work with @BIOROB_EPFL
And congrats to @AlexPazzaglia
#PLOSCompBio: Adaptation optimizes sensory encoding for future stimuli https://t.co/IEjCpxJtuD
Our BharatSim paper, describing an open-source agent-based modelling framework for the Indian population is out today.
@AshokaUniv @thoughtworks @debayan0 @BMGFIndia @Mphasis
#PLOSCompBio: BharatSim: An agent-based modelling framework for India https://t.co/id7eOKZXGh
Long time coming. A very cool project that showcases the advantages of single neuron adaptation in RNNs.
#PLOSCompBio: Neural networks with optimized single-neuron adaptation uncover biologically plausible regulari ... https://t.co/cljxL6s4pM
Props to @vgeadah and co-authors
Our long paper on BharatSim, our agent-based model framework for India, describing the details of the model, the code and multiple examples, is now out in PLoS Comp Bio.
#PLOSCompBio: BharatSim: An agent-based modelling framework for India https://t.co/id7eOKZXGh
#PLOSCompBio: scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regu ... https://t.co/h0DdRxSLwb
Happy to share that our paper on inferring spatially resolved expression from H&E images is published in #PLOSCompBio
I want to thank @leon_anavy , Zohar Yakhini, Ehud Rivlin and Daniel Freedman for their guidance and support driving this project
https://t.co/wyPVBxZoCX
Excited to share the latest publication from our lab! We demonstrate how integrating pathway information with transcriptomic profiling enhances clinical outcome predictions. Check it out! #PLOSCompBio: https://t.co/lFWhbv9izP
Many congrats Damien Devos and co-author, great work: #PLOSCompBio: The neglected giants: Uncovering the prevalence and functional groups of huge proteins in prote ... https://t.co/pcNW2llGLB
🚨 Publication Alert!
#PLOSCompBio: Cracking the neural code for word recognition in convolutional neural networks https://t.co/5Aun6o3Jxc
We (@StanDehaene) have uncovered how convolutional neural networks recognize words, and the results are fascinating.
New paper from the lab !! We have developed a random-forrest based multi-classifier to predict genetic interactions in cancer @anubhadey1
#PLOSCompBio: MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using pro ... https://t.co/qBPB9IcGjg
#PLOSCompBio: Ethical frameworks should be applied to computational modelling of infectious disease intervent ... https://t.co/Al5PCb4PV0
Having limited data to build a neural predictive model? Try Bayes, and you can get the uncertainty of the derived neuronal preference. See our work on #PLOSCompBio: https://t.co/F3mReJcYC2. Thank you so much for the great team!! Nan Wu @IValeraM @sinzlab @alxecker @teulerlab
New article online now: A quantitative description of light-limited cyanobacterial growth using flux balance analysis #PLOSCompBio https://t.co/F1gWm3L1DQ
Check out our latest paper from the @SchlessingerLab on exploring the conformational space of protein kinases using AlphaFold2!
#PLOSCompBio: A comprehensive exploration of the druggable conformational space of protein kinases using AI-p ... https://t.co/sFIKhAj0FD
Excited to share our new algorithm (ST-CellSeg) for spatial transcriptomics. @SchulichMedDent, @westernuBiochem; @NSERC_CRSNG;@CIHR_IRSC
#PLOSCompBio: ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manif ... https://t.co/zk8ICwrG6L
#PLOSCompBio: In the Body’s Eye: The computational anatomy of interoceptive inference https://t.co/AudzJx0bAD
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