Dr Xing serves new roles at the Biophysical Society
Dr Xing will serve as the editorial board member for the society journal: Biophysical Journal. He is the Physical Cell Biology Program Chair-elect for year 2024 BPS meeting.
Category: Uncategorized
Weikang gave SLAAM seminar at UC Merced
It is a seminar series exclusively by postdocs from different institutions on Soft, Living, Active and Adaptive Matter (SLAAM). Weikang’s record talk can be found here.
Our EMT live cell imaging studies accepted in eLife
Congratulations to Weikang, Dante, Yaxuan, and Thomas for this beautiful work.
Our dynamo ms published in Cell
See our departmental coverage.
Yan’s dynamo ms submitted
https://www.biorxiv.org/content/10.1101/696724v2.full Single-cell RNA-seq, together with RNA velocity and metabolic labeling, reveals cellular states and transitions at unprecedented resolution. Fully exploiting these data, however, requires dynamical models capable of predicting cell fate and unveiling the governing regulatory mechanisms. Here, we introduce dynamo, an analytical framework that reconciles intrinsic splicing and labeling …
Yan’s talks at various conferences are well-received
Yan Zhang talked at Human Cell Atlas Asia 2020 and the 13th RECOMB/ISCB conference.
Dr Xing gave a few seminar/conference talks
Dr Xing talked at Harvard Medical School Theory Lunch series, Rockefeller Center for Studies in Physics and Biology, and EMBL-EBI Industry workshop.
Dr Xing talked at BIOKDD2020
Weikang’s first live cell studies of EMT accepted in Sci Adv.
Weikang Wang, Diana L. Douglas, Jingyu Zhang, Sangeeta Kumari, Metewo Selase Enuameh, Yan Dai, Callen T. Wallace, Simon C. Watkins, Weiguo Shu, Jianhua Xing, Live cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data, BioRxiv copy, Science Advances, accepted. We hope to catch up the …
Dr Xing will talk at the 19th International Workshop on Data Mining in Bioinformatics
The goal of the 19th International Workshop on Data Mining in Bioinformatics (BIOKDD’20) is to encourage KDD researchers to tackle the numerous challenges of mining and learning in Bioinformatics, Biomedical and Health Informatics. Dr Xing plans to talk about our research on single cell studies.
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Weikang gave SLAAM seminar at UC Merced
It is a seminar series exclusively by postdocs from different institutions on Soft, Living, Active and Adaptive Matter (SLAAM). Weikang’s record talk can be found here.
Our EMT live cell imaging studies accepted in eLife
Congratulations to Weikang, Dante, Yaxuan, and Thomas for this beautiful work.
Our dynamo ms published in Cell
See our departmental coverage.
Yan’s dynamo ms submitted
https://www.biorxiv.org/content/10.1101/696724v2.full Single-cell RNA-seq, together with RNA velocity and metabolic labeling, reveals cellular states and transitions at unprecedented resolution. Fully exploiting these data, however, requires dynamical models capable of predicting cell fate and unveiling the governing regulatory mechanisms. Here, we introduce dynamo, an analytical framework that reconciles intrinsic splicing and labeling …
Yan’s talks at various conferences are well-received
Yan Zhang talked at Human Cell Atlas Asia 2020 and the 13th RECOMB/ISCB conference.
Dr Xing gave a few seminar/conference talks
Dr Xing talked at Harvard Medical School Theory Lunch series, Rockefeller Center for Studies in Physics and Biology, and EMBL-EBI Industry workshop.
Dr Xing talked at BIOKDD2020
Weikang’s first live cell studies of EMT accepted in Sci Adv.
Weikang Wang, Diana L. Douglas, Jingyu Zhang, Sangeeta Kumari, Metewo Selase Enuameh, Yan Dai, Callen T. Wallace, Simon C. Watkins, Weiguo Shu, Jianhua Xing, Live cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data, BioRxiv copy, Science Advances, accepted. We hope to catch up the …
Dr Xing will talk at the 19th International Workshop on Data Mining in Bioinformatics
The goal of the 19th International Workshop on Data Mining in Bioinformatics (BIOKDD’20) is to encourage KDD researchers to tackle the numerous challenges of mining and learning in Bioinformatics, Biomedical and Health Informatics. Dr Xing plans to talk about our research on single cell studies.