Lin @Bioinfo_Lin

PhD candidate in computational biology, SJTU. Interested in single-cell and spatial omics. Shanghai, China Joined September 2022

Tweets

13
Followers

66
Following

606
Likes

132

Omer Ali Bayraktar @bayraktar_lab

5 months ago

How does tumour heterogeneity arise? How can we predict cancer cell plasticity? In 2 studies, we trace #glioblastoma heterogeneity to a spatial cancer cell trajectory w. atlassing bit.ly/4mkrWgs & predict plasticity w. snRNA/ATAC+deep learning bit.ly/3FbI6Ic 🧵

6 68 249 24K 92

Download Image

Rahul Satija @satijalab

2 years ago

Want to hear about the latest updates/new techniques in single cell and spatial genomics? Check out the full agenda for our Single Cell Genomics Day on Friday, 3/29. All talks will be live-streamed (no registration required) at satijalab.org/scgd

8 267 784 84K 271

Download Image

Tessa Green @the_tessallator

2 years ago

"scPerturb: harmonized single-cell perturbation data" is out now in Nature Methods!

4 45 210 62K 118

Download Image

Lin @Bioinfo_Lin

2 years ago

🖥️💪

0 0 0 414 0

Manolis Kellis @manoliskellis

2 years ago

Immensely proud to share our four papers on #SingleCell dissection of #Alzheimers Disease coming out in @CellCellPress today, reporting 2.3M #scRNA profiles and 850k #scATAC profiles across 427 post-mortem human brain samples from AD and non-AD donors in a wonderful…

40 408 2K 341K 421

Download Image

Dr. Tijana Milenkovic @ProfMilenkovic

2 years ago

Our review+perspective paper on "Current and future directions in network biology" is online (arxiv.org/abs/2309.08478). This has been a Herculean effort by many co-authors, thank you all! Special thanks to @marinkazitnik, @_michellemli, @aydin_wells, and all section coordinators.

2 125 385 59K 126

Download Image

Lin @Bioinfo_Lin

2 years ago

a little bit tired🥱

0 0 1 392 0

Lin @Bioinfo_Lin

2 years ago

Never give up.

0 0 0 598 0

Vega Shah @dr_alphalyrae

3 years ago

Rules for becoming a better bioinformatician in 2023 frankligy.medium.com/rules-for-beco…

6 47 178 21K 61

Simona Cristea @simocristea

3 years ago

The importance of this👇cannot be underscored: #caner is a unique evolutionary process. tumors are expected to be genetically v distinct. each tumor = its own world. Therefore: #scRNAseq analyses of cancer tissue data SHOULD NOT‼️BLINDLY include data integration as 1st step🧵

12 116 586 0 228

Download Image

Nicholas Navin @nicholas_navin

3 years ago

Top challenges in scDNA-seq data analysis: 1. determining the correct clustering resolution for subclone detection 2. estimating accurate DNA ploidy info of single cells from read depth 3. reconstructing phylogenetic lineages that utilizes both DNA mutations and CNA events

1 1 38 0 10

Nicholas Navin @nicholas_navin

3 years ago

Important questions in single cell RNA analysis: 1. how accurate are cell type frequencies in scRNA-seq or snRNA-seq data? 2. how to remove doublets, can conflicting lineage markers be used? 3. how to not over-integrate data which could also reduce true biological signal