Lijia Yu

[Jiao Sun @sunjiao123sun_]

Someone confronted on the spot, and they said “ Maybe there is one, maybe they are common, who knows what. I hope it was an outlier.” Even this explanation is full of implicit racial bias. See the full conv: https://t.co/s8Wzh4VxEw

[Hao Sun - RL @HolarisSun]

Remember this habitual offender of racial discrimination. Shame of @MIT 🙃

Hallucination is not a problem of AI, it’s a problem of this group of humans, no? Once we eliminate their corpus from the training set we might solve the hallucination problem:)

[Zhiyu Zoey Chen @ZhiyuChen4]

I'm shocked to see racism happening in academia again, at the best AI conference @NeurIPSConf. Targeting specific ethnic groups to describe misconduct is inappropriate and unacceptable. @NeurIPSConf must take a stand. We call on Rosalind Picard @MIT @medialab to retract and apologize for her statement.

[Lijia Yu @YuLijia]

@RongxinFang @Stanford @StanfordBrain @StanfordNsurg @JoeEcker @DulacLab Congrats! I just noticed the big news!

[Lijia Yu @YuLijia]

Excited to share our latest publication in single-cell clustering! Check out our paper on "Ensemble deep learning of embeddings for clustering multimodal single-cell omics data" (Now Published!) at https://t.co/fdctTJ9Lgk

[Lijia Yu @YuLijia]

Sorry, I'm late. A new paper of clustering multimodal single cell data is posted at bioRxiv.
A huge thanks to @ChunleiLiu0 and my amazing supervisor @PengyiYang82 and @jeanyang21 for the their support and guidance over the course of this project.

[Lijia Yu @YuLijia]

@alos_31 Thanks for sharing 😊

[Lijia Yu @YuLijia]

My first PhD project on evaluating clustering methods on estimating cell types is out.
see thread 🧵
#singlecell #scRNAseq #clustering #numberofcelltypes

[Genome Biology @GenomeBiology]

Benchmarking of clustering algorithms on single-cell RNA-seq data, for cell type estimation, from @YuLijia, @PengyiYang82 & co. They assess 14 methods from 4 categories, on datasets from Tabula Muris and Tabula Sapiens, and ranked for different tasks https://t.co/981VoQ4kch

[Lijia Yu @YuLijia]

Super congrats to Wendy ��

[Medical College of Wisconsin @MedicalCollege]

This mother and son dream team both matched today! #MatchDay #MCWMatch23

[Randall Munroe @xkcd]

K-Means Clustering https://t.co/dgV9ulStUb

[Lijia Yu @YuLijia]

Sorry, I'm late. A new paper of clustering multimodal single cell data is posted at bioRxiv.
A huge thanks to @ChunleiLiu0 and my amazing supervisor @PengyiYang82 and @jeanyang21 for the their support and guidance over the course of this project.

[Computational Systems Biology Lab @PengyiYang82]

Continue on her highly successful study on the number of cell type estimation in #singleCell using clustering, @YuLijia led the development of a method for #ensemble deep learning of embeddings for clustering multimodal single-cell omics data https://t.co/tFMxgS3dmN. RT please.

[Carissa Chen @carissaynchen]

My first preprint is out on bioRxiv!✨
The identification of genes that vary across spatial domains in tissues/cells is an essential step in spatial transcriptomics data analysis. Given this, we evaluate the performance of various proposed SVG methods. https://t.co/OxJ8RtbwyF

[Hani Jieun Kim @hani_jieun]

How well do “mini-organs” in a dish recapitulate the human tissue? We set out to answer this question for the human eye, a super fascinating organ! I'm excited to share our preprint on @biorxivpreprint. Check out the full story through the link! 🧵https://t.co/3501IKJdJB

[Yue Cao @YueCao16]

Excited to share our work @jeanyang21 @PengyiYang82 SimBench
@NatureComms, that evaluates #SingleCell simulation methods. https://t.co/h1Drk7sNZd

[Yingxin Lin @LinYingxin]

Very excited that our latest work scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning is finally out @NatureBiotech! https://t.co/zFK1pkjDHx It is a joint work and a great collaboration between Wong Lab @Stanford and @sydneybioinfo

[Hani Jieun Kim @hani_jieun]

My final project of my PhD is out in @NatureComputSci!! https://t.co/VDlMj2svdr

#singlecell #cellularidentity #markergenes #differentialstability #Cepo

see thread 🧵

[Di Xiao @DiXiao22]

Very excited to share my first first-author paper in @OUPBioinfo !! https://t.co/kv4hPmgkOF
Please see thread.
#SPS #phosphoproteome #splicesome #cancermutation

[Lijia Yu @YuLijia]

8/8 We thank our amazing reviewers and editors who helped substantially improve the quality of this work! We will continue benchmarking new methods and new updates on old methods.

[Lijia Yu @YuLijia]

7/8 This work would not be possible without my wonderful colleagues at @sydneybioinfo, @SydneyMaths, @CMRI_AUS, @cpc_usyd, @Sydney_Uni.
In particular, my partner in SydneyMaths @YueCao16 and our amazing supervisors @PengyiYang82 and @jeanyang21.