A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
It’s a bit like giving the soil a DNA test.” A new droplet digital PCR (ddPCR) method quantifies root DNA directly from soil ...
From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
How event-driven data pipelines reduce latency, automate schema changes, and improve reliability across large-scale data ...
New GPU-powered system cuts genome processing time from hours to minutes, unlocking large-scale genetic discovery. Ecotone would like to share Embarrassingly_FASTA, a new systems-level genome ...
Long Short-Term Memory (LSTM) network with sequence-to-sequence architecture for building conversational chatbots with attention mechanism. lstm-chatbot/ ├── README.md ├── FEATURES.md # Additional ...
Abstract: Molecular sequence analysis is crucial for understanding several biological processes, including protein-protein interactions, functional annotation, and disease classification. The large ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we introduce auxiliary discriminator sequence generative adversarial ...
The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be lost or blurred, and differences between ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results