YOLO Lab

Yoram Louzoun's Lab
Department of Mathematics
Bar Ilan University

[YOLO Lab @yl_lab]

New paper from our lab!

We introduce a more robust statistical framework for analyzing complex biological data and diversity patterns - going beyond standard methods to deliver deeper, more reliable insights.

Read more: https://t.co/ElHK8dqYvn

[YOLO Lab @yl_lab]

New paper from our lab!

We show early microbiome & metabolic signals precede diagnosis, and propose a shift to early risk stratification, microbiome-informed screening, and prevention.

Read more: https://t.co/O2N4ueZfH5

[YOLO Lab @yl_lab]

🧬 New paper in Genome Medicine: gut & oral microbiome profiles predict HSCT outcomes, including complications and survival. Our RATIO model provides interpretable time-to-event predictions and outperforms Cox & RSF across independent cohorts.

Read more: https://t.co/P0ldwLUSOn

[YOLO Lab @yl_lab]

Can gut microbiome help us better classify psychological distress?
Our new paper in Communications Medicine (Nature) explores the integration of microbiota data and violence exposure metrics to understand mental health in middle-aged adults.
Read more: https://t.co/a8NOpbqJLg

[YOLO Lab @yl_lab]

New paper out!
Machine learning + early clinical data = early prediction of gestational diabetes in twin pregnancies.
Read more: https://t.co/btj6uspeaE

[YOLO Lab @yl_lab]

NEW PAPER in Genome Biology!

“GIMIC: Smoothed Graph-Image Representation of Microbiome Samples Induce an Optimal Distance” by Oshrit Shtossel.

Read more: https://t.co/1tLLJJVzfy

[YOLO Lab @yl_lab]

From Louzoun Lab!
New survival analysis method by Oshrit Shtossel:
Introducing RATIO! a new survival loss that uses censored data better, cuts prediction bias, and fits any model. And: FIESTA for smarter data augmentation and higher precision.
📄 https://t.co/k7LDjT6XKO

[YOLO Lab @yl_lab]

#VJ_pairing: we show that the frequency of human and mouse VJ combinations deviates from the one expected based on each gene usage frequency. Our results suggest a common structural mechanism for these biases. Published in @FrontImmunol. https://t.co/tkci4n4SYk

[YOLO Lab @yl_lab]

See ADVANCE, our new Bayesian #disease_frequencies estimator assuming a combination of conditions and time dependent probability of being positive to disease. It copes with the biases of current estimates and is a better predictor for #future_mortality https://t.co/bkoOpjd9Cx

[YOLO Lab @yl_lab]

GRIMME, our new EM algorithm to estimate HLA haplotype frequencies of multi-race populations. It can handle all types of ambiguities and datasets, and it produces much higher likelihood values and better haplotype recovery than current EM implementations. https://t.co/UcpfEE75Xz

[YOLO Lab @yl_lab]

Following #ERGO, We now present ERGO-II, a high accuracy TCR-peptide binding predictor discerns the relative impact of T Cell Receptor alpha and beta CDR3, MHC, V and J genes to peptide binding prediction. Published in @FrontImmunol. https://t.co/kuh84chC6v

[YOLO Lab @yl_lab]

Just published our article "CDR3 and V genes show distinct reconstitution patterns in T cell repertoire post-allogeneic bone marrow transplantation" with #Springer https://t.co/P8x0gqZb6H via @SN_Authors

[YOLO Lab @yl_lab]

One major issue during the corona outbreak was to estimate the actual number of infected. We show the equivalence between the ratio of tested individuals with a known source and the ratio of undiagnosed infected in the initial phase. https://t.co/As8RlFaytO

[Shai Carmi @ShaiCarmi]

In a new preprint, we report no association between HLA alleles and Covid-19 susceptibility or severity. Our study is based on 73k individuals with Covid PCR test, among them 6.5k infected and 181 hospitalized.

Thread below.

1/11

https://t.co/DmVmR8rkG7

[YOLO Lab @yl_lab]

Now published in @FrontImmunol. #ERGO (pEptide tcR matchinG predictiOn) is a highly specific and generic TCR-peptide binding predictor, based on state-of-the-art #deep_learning methods. We also define a set of tests to evaluate TCR-peptide binding.
https://t.co/jx59ecnnlR

[YOLO Lab @yl_lab]

We have shared the results of our latest study on @bioRxiv. This work has yet to receive formal review feedback but we have made it available early. Please comment! #OpenAccess https://t.co/GrA6yZPlQi

[YOLO Lab @yl_lab]

In modern theories #population_diversity is related to a high #invasion_rate of new types. We break this paradigm by showing that adding almost any mechanism of #catastrophes to the #population_dynamics induces a positive invasion rate but a low diversity.
https://t.co/WNM3ACTX9d

[YOLO Lab @yl_lab]

It is possible to utilize the #covid19 tests more efficiently by using #machine_learning
https://t.co/7PM0erMpRD

[YOLO Lab @yl_lab]

Reliable measures for the proliferation of the #covid19 #pandemic and exit strategies
https://t.co/7B0SwHszKJ

[YOLO Lab @yl_lab]

Is the #quarantine necessary? and which data is missing to defeat the #covid19? Prof. Yoram Louzoun's post on the Mafat #coronavirus blog
https://t.co/CdcPEuJd6F