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 ...
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I used Meta Llama 4, Qwen 3-Coder and Gemma 4 to develop a Python app, and only one model is worth keeping for developers
Putting some of the best local models to the development test ...
Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pediatric mortality worldwide. Echocardiography (echo) is central to diagnosing and triaging CHD, yet expert ...
This repository contains a Python implementation of the ENHANCE algorithm for denoising single-cell RNA-Seq data (Wagner et al., 2019). The R implementation can be found in a separate repository.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...
This is a simplified implementation of UMAP (Uniform Manifold Approximation and Projection), programmed from scratch and applied to GEO scRNA-seq data. A project assignment for BINF6250 (Algorithmic ...
Reduced-dimension or spatial in situ scatter plots are widely employed in bioinformatics papers analyzing single-cell data to present phenomena or cell-conditions of interest in cell groups. When ...
Single-cell RNA sequencing (scRNA-Seq) enables researchers to quantify the transcriptomes of individual cells. The capacity of researchers to perform this type of analysis has allowed researchers to ...
It is well recognized that batch effect in single-cell RNA sequencing (scRNA-seq) data remains a big challenge when integrating different datasets. Here, we proposed deepMNN, a novel deep ...
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