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RNA-Puzzles is a community-wide evaluation of RNA 3D structure prediction since 2012. We report the state-of-the-art prediction in the field using 23 RNA targets in RNA-Puzzles Round V. See the paper: https://www.nature.com/articles/s41592-024-02543-9.

Zhichao Miao

Dec 02, 2024

Nature Methods

Behind the Paper

SCCAF: machine learning infers putative cell types

We describe SCCAF a computational approach to identify putative cell clusters from single-cell RNA-seq data. SCCAF automatically identifies the “ground truth” cell assignments with high accuracy in various benchmark datasets and captures the discriminative feature genes of the cell types.

Zhichao Miao

May 18, 2020

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Zhichao Miao (He/Him)

RNA-Puzzles Round V: evaluation of RNA structure prediction on 23 targets

SCCAF: machine learning infers putative cell types