Twitter Beğeni Hilesi

Our new framework, CaDRReS-Sc, for predicting cancer drug response in heterogeneous tumors based on single-cell data. github.com/CSB5/CaDRReS-Sc biorxiv.org/content/10.110… I’m so grateful for the support and guidance from Niranjan Nagarajan @rdasgupt Ankur Sharma :)

We have some "strong" transfer learning mojo for you ... w/ Rafael Peres Chayaporn Nok Suphavilai TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings academic.oup.com/bioinformatics…

What a pleasant surprise to see this out in Genome Medicine! Great collaboration with Chayaporn Nok Suphavilai Ankur Sharma Ramanuj Dasgupta & Shumei Chia

Fruitful collaboration with Karrie Ko! An interactive interface for local hospitals to rapidly characterize and inspect healthcare-associated SARS-CoV-2 transmission. And thanks for the helpful advice from Niranjan Nagarajan. frontiersin.org/article/10.338…

Imagine a technology that will let you see all microbes everywhere... well we already have it in the form of #metagenomics! Its time to push the frontiers and deploy it so that we aren't blind to our microbial world, its huge potential & occasional dangers nature.com/articles/s4156…

Our preprint on characterizing gut microbial diversity in Southeast Asians is finally out! Short summary: Quality is better than quantity for deriving population-specific references for metagenomics biorxiv.org/content/10.110…

Chayaporn Nok Suphavilai, Karrie Ko : Sentinel-site sequencing in near real-time for detecting clonal outbreak clusters and providing alerts. Our new case study with Oxford Nanopore sequencing for whole-genome characterization of Shigella flexneri isolates frontiersin.org/articles/10.33…

We integrated raw inconsistent drug response data to build an integrative pharmacogenomics database. CREAMMIST provides easy-to-use statistics and uncertainty info for various downstream analyses, such as identifying biomarkers and machine learning models. academic.oup.com/nar/advance-ar…

Brilliant work and collaboration with Chayaporn Nok Suphavilai Karrie Ko Jacquomo Niranjan Nagarajan Discovery of the sixth Candida auris clade in Singapore medrxiv.org/content/10.110…

By bringing #genomics tools to the bedside, researchers successfully tracked emergent mutations in immunocompromised #COVID19 patients and modified infection control measures to better suit their needs. More on this study in our latest article ⬇️ bit.ly/3Pon2PZ

The MetageNN paper is finally out on bioRxiv! MetageNN outperforms recent machine learning based approaches for taxonomic classification, and shows higher sensitivity than kmer based tools for novel taxa ... w/ Rafael Peres Chayaporn Nok Suphavilai biorxiv.org/content/10.110…

MetageNN - a memory efficient taxonomic classifier - is now out in BMC Bioinformatics #metagenomics #AI MetageNN outperforms other machine learning-based metagenomic classifiers, and shows higher sensitivity than kmer-based tools Rafael Peres Chayaporn Nok Suphavilai tinyurl.com/mvr5th8j

One year after submission, 7 reviewers, 3 rounds of rebuttals the C auris 6th clade is established. OA. Detection and characterisation of a sixth Candida auris clade in Singapore: a genomic and phenotypic study - The Lancet Microbe thelancet.com/journals/lanmi…

Excited to share our work on city-wide metagenomic surveillance of hawker centres in Singapore! w/Macadology Several surprising findings here ... see thread medrxiv.org/content/10.110…

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