Rick Z Li retweeted
An article published in #BMCBioInformatics presents TIANA: an effective interpretation-oriented deep learning tool to infer hidden transcription factors cooperativities information embedded within nucleotides.
bmcbioinformatics.biomedcent…
Rick Z Li retweeted
When the PI is bored and goes around in the lab asking everybody how they're progressing
xitter.cf/tannokasa3/status/1766…
Rick Z Li retweeted
We are very excited to let you know that in early December, we will release the first trailer for the next Grand Theft Auto. We look forward to many more years of sharing these experiences with all of you.
Thank you,
Sam Houser
Rick Z Li retweeted
New: Big Insurance Met Its Match When It Turned Down a Top Trial Lawyer’s Request for Cancer Treatment propublica.org/article/blue-…
Rick Z Li retweeted
So many fascinating ideas at yesterday's #blackboxNLP workshop at #emnlp2020. Too many bookmarked papers. Some takeaways:
1- There's more room to adopt input saliency methods in NLP. With Grad*input and Integrated Gradients being key gradient-based methods.
Rick Z Li retweeted
Want to apply #deeplearning in your #regulatory #genomics analyses but overwhelmed by suite of interpretation tools? Check out ExplaiNN: interpretable and transparent neural networks for genomics with @NovakovskyG @ofornes @sara_mostafavi @WyWyWa 🧵👇
biorxiv.org/cgi/content/shor…
Rick Z Li retweeted
It’s a cat.
It’s a lawyer.
It’s a combination cat-lawyer.
nyti.ms/3aTanAf
Rick Z Li retweeted
BREAKING: President Biden signs an executive order banning validation of RNA-seq results with Real-time PCR
Rick Z Li retweeted
🤯 Did you know you could reference blocks of code in an .R file from RMD by referencing them by name??@thomas_mock talk (slides at bit.ly/marvelRMD) is full of great RMarkdown tips - check it out! #rstatsnyc
Rick Z Li retweeted
For junior faculty members, reviewing manuscripts for journals you want to publish in can be an excellent opportunity to create positive relationships with editors & help publish future papers. As part of the #CRIHack series @SJMorrison_ shares the best way to review manuscripts.
Rick Z Li retweeted
Out today! The TooManyCells approach to scRNA-seq data facilitates efficient and unbiased identification and visualization of cell clades and rare subpopulations. nature.com/articles/s41592-0…
Rick Z Li retweeted
PIANO: A Fast Parallel Iterative Algorithm for Multinomial and Sparse Multinomial Logistic Regression dlvr.it/RQcghD
Rick Z Li retweeted
Our review on #DeepLearning for Genomics is finally out - lot's of paper-digging led by @gokcen and @avsecz from @gagneurlab. Targeted at biologists who want to learn how 'AI' can be used for genomic modeling, from motif discovery to single cell genomics. nature.com/articles/s41576-0…
Rick Z Li retweeted
Tumor Phylogeny Topology Inference via Deep Learning dlvr.it/RPgDw1
Rick Z Li retweeted
Here is a growing list of conferences for 2020: generegulation.org/conferenc…
Please reply to add new events*
*Should be of general interest to gene regulation community
Rick Z Li retweeted
Great timing to announce our participation in sceQTL-gen: a consortium to share and meta-analyze genetic effects across immune cell types using scRNA-seq: eqtlgen.org/single-cell.html. This follows some lively discussions at the #ICDA about the need for more population-scale scRNA-seq
Rick Z Li retweeted
Subpopulation identification for single-cell RNA-sequencing data using functional data analysis dlvr.it/RCzc1M





























