Genialis builds in silico models of disease biology to advance discovery & de-risk development of novel therapeutics.
“With our comprehensive RNA library prep kits for Illumina systems and @Genialis’s advanced analytics software, scientists can streamline their NGS research and focus on results.” – Ray Mercier, VP/GM of molecular biology. https://lnkd.in/gjjmdaz
.@RecursionPharma’s recent announcement of on-site childcare is 100% on brand. Listen to @rafecook’s conversation with COO @TinaMarrLarson about building team & culture at the intersection of tech and bio.
Excited to collaborate with @Genialis to integrate the Invitrogen Collibri RNA library prep kits with intuitive data analytics software to make #NGS data analysis more accessible for biologists. https://bit.ly/2rrxkYj
NGS is evolving rapidly, but scientists often face bottlenecks in data analysis. Raymond Mercier, our VP/GM, molecular biology, and Rafael Rosengarten, CEO of @Genialis, share how our new collaboration can help. @mollyrcampbell @Tech_Networks https://bit.ly/349TRXx
Very cool paper! Deep learning classifier of cancer pathology using whole transcriptome data. The possibilities seem endless for extending algorithms like these to more specific stratification challenges in oncology. @Genialis https://twitter.com/deepgradient/status/1194087817233797120
I'm thrilled to share my last paper.
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome | Scientific Reports - https://www.nature.com/articles/s41598-019-52937-5
@kieranrcampbell @MarzyehGhassemi @quaidmorris @mathoncoblog @anshulkundaje