组内资料分享

Paper-Reading-Group

List shared papers in our group

组内资料分享

Paper-Reading-Group

List shared papers in our group

Date	Speaker	Paper	Slide	Keywords
2023.12.15	刘佳淑	《ACORDE unravels functionally interpretable networks of isoform co-usage from single cell data》(Nature Communications 2022)	20221215_ljs.ppt	isoform共表达网络、单细胞
2023.11.08	段志伟	《MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer》(Nature communications 2023)	mixcan.pptx	TWAS
2023.10.11	黄文魁	《Accurate proteome-wide missense variant effect prediction with AlphaMissense》(Science 2023)	2023_AlphaMissense.ppt	错义突变致病性预测
2023.9.20	陈泽瑶	《A gene-based association method for mapping traits using reference transcriptome data》(Nature genetics 2015)	PrediXcan.pptx	单细胞
2022.9.20	黄文魁	《Variant to function mapping at single-cell resolution through network propagation》(Nature Biotechnology 2022)	2022_SCAVENGE.ppt	单细胞
2022.9.06	刘佳淑	《Genetic control of RNA splicing and its distinct role in complex trait variation》(Nature Genetics 2022)	THISTLE.ppt	sQTL
2022.06.16	张孝琪	《Graph Self-Supervised Learning: A Survey》	图自监督学习.pptx	自监督学习
2022.03.02	张孝琪	《SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS》(ICLR 2017)	semiGCN.pptx	GCN
2021.12.24	张超	《Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data》	EDGE.pptx	单细胞降维和特征选择
2021.12.17	伍振鹏	《Deep neural networks identify sequence context features predictive of transcription factor binding》(Nature Machine Intelligence 2021)	zheng2021AgentBind.pptx	转录因子结合预测
2021.11.11	刘海	《Prioritization of disease genes from GWAS using ensemble based positive unlabeled learning》(nature european journal of human genetics 2021)	PULearning.pptx	疾病基因预测
2021.12.03	刘坤	《GRiNCH: simultaneous smoothing and detection of topological units of genome organization from sparse chromatin contact count matrices with matrix factorization》(Genome Biology 2021)	20211203.pptx	TAD检测
2021.11.19	张硕	《MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification》(Nat Commun 2021)	MOGONET.ppt	多组学分类
2021.11.5	徐云佩	《Accurate feature selection improves single-cell RNA-seq cell clustering》(Briefings in Bioinformatics. 2021)	FEAST.ppt	单细胞特征选择
2021.7.6	张超	《Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis》(Nature communication. 2020)	DESC.ppt	单细胞聚类
2021.6.25	刘祎玮	《Pathway-based subnetworks enable cross-disease biomarker discovery》(Nature communication. 2018)	SIMMS.ppt	Pathway subnetwork及生存分析
2021.6.23	伍振鹏	《Prevalent intron retention fine-tunes gene expression and contributes to cellular senescence》(Aging Cell. 2020)	IR_senescence.ppt	内含子保留
2021.6.1	刘坤	《SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data》(Front. Genet. 2020)	SRHiC.ppt	Hi-C数据增强
2021.5.11	杨昌获	《PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins》(Bioinformatics 2020)	modelensemble.ppt	模型集成
2021.4.27	杨昌获	《PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins》(Bioinformatics 2020)	modelensemble.ppt	模型集成
2021.4.13	张硕	《INDUCTIVE MATRIX COMPLETION BASED ON GRAPH NEURAL NETWORKS》(ICLR 2020)	IGMC.pptx	推荐系统
2021.4.06	郑剑涛	《Freddie: Annotation-independent Detection and Discovery of Transcriptomic Alternative Splicing Isoforms》(bioRxiv 2021)	Freddie.ppt	三代测序；isoform预测
2021.3.23	徐云佩	《Deciphering cell–cell interactions and communication from gene expression》(Nature Reviews Genetics 2020)	cell communication review.ppt	单细胞通讯
2021.3.18	方钊玉	《An entropy-based metric for assessing the purity of single cell populations》(Nat Commun 2020)	ROGUE.ppt	单细胞