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https://doi.org/10.1109/BIBM.2016.7822593
> Enhancers are crucial to the understanding of mechanisms underlying gene transcriptional regulation. Although having been successfully applied in such pr…
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Published: https://doi.org/10.1093/nar/gkx681
Preprint: https://doi.org/10.1101/129759
> While only recently developed, the ability to profile expression data in single cells (scRNA-Seq) has alr…
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http://doi.org/10.1371/journal.pcbi.1005403
> Understanding the cell-specific binding patterns of transcription factors (TFs) is fundamental to studying gene regulatory networks in biological syste…
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https://doi.org/10.1101/103994
> As high-throughput biological sequencing becomes faster and cheaper, the need to extract useful information from sequencing becomes ever more paramount, often limit…
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https://doi.org/10.1101/104869
> Advancements in sequencing technologies have highlighted the role of alternative splicing (AS) in increasing transcriptome complexity. This role of AS, combined wit…
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Post your questions for [Uri Hasson](https://psychology.princeton.edu/people/uri-hasson) about his talk and paper: **Deep language models as a cognitive model for natural language processing in the hu…
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**Have you checked the [list of proposed rules](https://github.com/Benjamin-Lee/deep-rules/issues?q=is%3Aissue+is%3Aopen+label%3Arule) to see if the rule has already been proposed?**
- [x] Yes
…
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Would it be effective to use a K-Nearest-Neighbor algorithm in analysis of neural network data. Specifically, if you assign the spatial information to a vector would this be more effective than using …
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Copied from Slack Reputation channel May 26:
Anton Kolonin [10:14 PM]
JIC, if you could take all your thought stream on "finding reputation network attractors in heterogeneous social networks"…
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### Title
GPU implementation of Allen Brain V1 measured model using Julia and or PyGeNN: A precursor to a large scale FPGA based very large scale spiking neuronal network.
### Leaders
@russel…