omics

CIDER: an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation

Our latest paper, based on the thesis work of former DPhil student Zhiyuan, has been published in Genome Biology. CIDER: an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation describes a meta-clustering workflow based on inter-group similarity measures. We demonstrate that CIDER outperforms other scRNA-Seq clustering methods and integration approaches in both simulated and real datasets. Moreover, we show that CIDER can be used to assess the biological correctness of integration in real datasets, while it does not require the existence of prior cellular annotations.

Rarity: Discovering rare cell populations from single-cell imaging data

Kaspar Martens will present his latest work at the NeurIPS Workshop “Learning Meaningful Representations of Life” Rarity: Discovering rare cell populations from single-cell imaging data. The work arises from his Turing-Crick Biomedical Award which supports a collaboration between the Alan Turing Institute and the Ciccarelli Group at Kings College London and the Francis Crick Institute.

Scientists closer to finding the cell of origin for ovarian cancer

Former DPhil student Zhiyuan with the Ovarian Cancer Lab have created a new public engagement video showcasing our work on single cell sequencing of ovarian cancer. Scientists closer to finding the cell of origin for ovarian cancer

Postdoc Opportunity with HDRUK

A new postdoc opportunity with myself and Dr Mike Inouye is available based in Cambridge: Health Data Research UK (HDRUK) Multi-omics Consortium