Qian Cheng

@sgqcheng

Senior Editor @NatureComms. PhD @Cambridge_Uni. Views my own.

London, England

Joined September 2010

534Following

593Followers

Pinned

Qian Cheng@sgqcheng · Jul 9

The @NatureConf on AI-Augmented Biology is open for registration! We will explore how artificial intelligence is transforming the life sciences. 📅 October 22-24 2025 | 📍 Nanjing, China @NJU1902 @Nature @NatureComms @NatureBiotech @naturemethods natureconferences.streamgo.live/ai-augmented-b…

sgqcheng's tweet card. Organised by Nanjing University，Nature, Nature Communications, Nature Biotechnology, Nature Methods The Nature conference on "AI Augmented Biology" explores how the integration of artificial intell...

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Qian Cheng@sgqcheng · Jul 23

CausCell: a causal disentanglement framework that generates explainable, generalisable, and controllable representations for #singlecell omics data. @greysonc98 @Kejing_Dong #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Single-cell omics data contain complex, entangled biological signals that challenge interpretation. Here, authors present CausCell, a causal disentanglement framework that...

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Qian Cheng@sgqcheng · Jul 22

A computational framework for single cell and spatial alternative splicing analysis with Nanopore long read sequencing @NancyZh60672287 #BiotechNatureComms nature.com/articles/s4146…

sgqcheng's tweet card. Nature Communications - Single-cell isoform quantification using Nanopore long reads remains limited by sequencing errors. Here, authors present Longcell, a computational framework that corrects...

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Qian Cheng@sgqcheng · Jul 22

Bering performs joint cell segmentation and annotation for spatial transcriptomics with transferred graph embeddings @Kang_Jin__ @JianShuLab #BiotechNatureComms nature.com/articles/s4146…

sgqcheng's tweet card. Nature Communications - Cell segmentation remains a great challenge in high-resolution spatial-omics data. Here, the authors introduce a graph-based deep learning model that exploits transcript...

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Qian Cheng@sgqcheng · Jul 13

A computational tool #SCALPEL for #isoform quantification at the single-cell level using 3’ scRNA-seq data @miriplass @PlassLab #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Single-cell RNA-seq facilitates the study of transcriptome diversity in individual cells. Here, authors introduce a tool for isoform quantification at the single-cell level...

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Qian Cheng@sgqcheng · Jul 13

A foundation model trained on 18 million time-lapse embryo images for in vitro fertilisation @rajsuraj99 @hajirasouliha #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - In vitro fertilisation relies on accurate, non-invasive embryo evaluation to improve success rates. Here, authors present a foundation model trained on 18 million time-lapse...

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Qian Cheng@sgqcheng · Jul 13

A fully automated AI ImageJ plugin that detects and classifies #exocytosis events from synaptic transmission to single-vesicle fusion. @AliHShaib @AbedShaib #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Activity recognition in live-cell imaging is laborious. Here, authors present, IVEA, a fully automated AI ImageJ plugin, that efficiently detects and classifies exocytosis...

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Qian Cheng@sgqcheng · Jul 9

Great to deliver the Nature MasterClasses with Jie @JPanPanJ for the School of Computer Science at Northwestern Polytechnical University in Xi’an, to share our views on what makes a strong computational paper for @NaturePortfolio journals. #labvisit #openscience

sgqcheng's tweet image. Great to deliver the Nature MasterClasses with Jie @JPanPanJ for the School of Computer Science at Northwestern Polytechnical University in Xi’an, to share our views on what makes a strong computational paper for @NaturePortfolio journals. #labvisit #openscience

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Qian Cheng@sgqcheng · Jul 7

ToxACoL is an endpoint-aware and task-focused compound representation learning paradigm for #Acute_Toxicity_Assessment #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Multi-species acute systemic toxicity assessment is fundamental for chemical classification, labelling and risk management. Here, the authors propose a machine learning...

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Qian Cheng@sgqcheng · Jul 7

Binarized gene expression data can be concatenated with chromatin accessibility data for effective and integrated cell clustering @zhengdy @rohanmisra @EinsteinMed #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Individual data types in a single cell multi-omic assay are often processed and clustered independently before combined for further analysis. Here, authors showed that...

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Qian Cheng@sgqcheng · Jul 7

.@JeschekLab describe a data-driven approach combining DNA recording and epistasis-aware deep learning to augment #protease specificity engineering at large scale #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Substrate-specific proteases have an enormous potential in the life sciences, but tailoring their specificity remains challenging. Here, the authors describe a data-driven...

Qian Cheng@sgqcheng · Jul 7

A DNATag-based system for secure traceability, featuring error tolerance, mobile phone readability, and robust forgery protection. @jeffnivala @yuan0 #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Tracking raw materials is critical for securing global supply chains, but traditional tags lack in traceability and anticounterfeiting. The authors present a DNATag-based...

Qian Cheng@sgqcheng · Jul 7

GAUDI integrates diverse omics data types and identifies biologically meaningful patterns across multiple benchmarks. @polcastellano_ @matthewhirschey #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Integration of multi-omics data is challenging due to high dimensionality and non-linear relationships. Here, authors develop an unsupervised method that leverages UMAP...

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Qian Cheng@sgqcheng · Jul 7

GPerturb detects and quantifies gene-level effects of perturbations, with uncertainty estimates, revealing complex biological interactions. @cwcyau #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Single-cell CRISPR screens enable high-throughput analysis of how genetic changes affect individual cells. Here, authors present GPerturb, a method that accurately detects...

Qian Cheng@sgqcheng · Jul 7

A virtual single-cell NFκB signalling networks that recapitulate heterogenous experimental stimulus-response dynamics #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - To develop virtual cells, mathematical models must account for the heterogeneity of single cells. Here, authors develop virtual single cell NFκB signalling networks...

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Qian Cheng@sgqcheng · Jul 7

.@Yuxi_Ke @WJGreenleaf develop a high-throughput DNA melting method and improve computational models for predicting DNA folding energies from sequence data #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - DNA thermodynamics underlies many biological and biotechnological applications but is challenging to accurately predict. Here, the authors develop a high-throughput DNA...

Qian Cheng@sgqcheng · Jul 7

scICE enhances clustering reliability and efficiency for scRNA-seq data analysis @gimhyeo2951042 @umichkim @ibsbimag @IBS_media #Bioinformatics #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Accurate identification of cell types in vast single-cell datasets is a major challenge. Here, authors deliver scICE, a computational tool that ensures clustering...

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Qian Cheng@sgqcheng · Jul 7

DOLPHIN: a deep learning method that enables exon- and junction-level analysis to improve cell representation and detect alternative #splicing. @Srrrrrrrrrrrr @johnding86 #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Single-cell RNA-seq analysis is conventionally limited to gene-level quantification, missing transcript diversity. Here, authors present DOLPHIN, a deep learning method that...

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Qian Cheng@sgqcheng · Jul 7

A deep learning and immune-fluorescence-guided cell labelling method for accurate cell pattern identification. #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Histopathology is essential for diagnosing cancer, but cell annotation remains unreliable and inefficient. Here, authors develop a method using deep learning and...

Qian Cheng@sgqcheng · Jul 7

Cell Marker Accordion is a user-friendly platform providing robust automatic cell annotation of #single_cell and spatial populations @RDDS_Lab #BiotechNatureComms doi.org/10.1038/s41467…

sgqcheng's tweet card. Nature Communications - Accurate cell type annotation is a major challenge in single-cell and spatial omics. Here, authors present a user-friendly platform providing robust automatic annotation and...

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