Willi (@willigo09) 's Twitter Profile
Willi

@willigo09

Systems biology, Python, BVB

ID: 821465102293602304

calendar_today17-01-2017 21:11:57

4,4K Tweet

206 Followers

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Ilko-Sascha Kowalczuk (@ilkokowalczuk) 's Twitter Profile Photo

1/2 17.9.1991:Mit Übergriffen auf dem Marktplatz beginnen mehrtägige neofaschistische Übergriffe in Hoyerswerda auf Ausländer. Es werden später nur 4 Terroristen verurteilt. Die Ausländer werden "umgesiedelt" (O-Ton). Neonazis feiern Hoyerswerda als erste "ausländerfreie Stadt".

1/2 17.9.1991:Mit Übergriffen auf dem Marktplatz beginnen mehrtägige neofaschistische  Übergriffe in Hoyerswerda auf Ausländer. Es werden später nur 4 Terroristen verurteilt. Die Ausländer werden "umgesiedelt" (O-Ton). Neonazis feiern Hoyerswerda als erste "ausländerfreie Stadt".
Yang Bai (@yang1bai) 's Twitter Profile Photo

A fun work from A*STAR Research NTU Singapore, multi-objective Bayesian optimization + automation + film materials + photoelectrocatalysis 🔜future materials lab. Huge thanks, Hip Lab!🚀🚀🚀

Acceleration Consortium (AC) (@acceleration_c) 's Twitter Profile Photo

Interested in #AI for antibiotic discovery?📅 On Thurs Sept 21 11am-12pm, join César de la Fuente-Nunez (Penn) for a talk on this, as part of the Donnelly Centre seminar series. Register now 👉 bit.ly/3RowNQx

Interested in #AI for antibiotic discovery?📅 On Thurs Sept 21 11am-12pm, join César de la Fuente-Nunez (<a href="/Penn/">Penn</a>) for a talk on this, as part of the <a href="/DonnellyCentre/">Donnelly Centre</a> seminar series. Register now 👉 bit.ly/3RowNQx
Machine Learning in Chemistry (@ml_chem) 's Twitter Profile Photo

Active Learning Platform for Accelerating the Search for High-Voltage Cathode Materials in an Extensive Chemical Space #machinelearning #compchem pubs.acs.org/doi/abs/10.102…

bioRxiv SysBio (@biorxiv_sysbio) 's Twitter Profile Photo

Application of genome-scale models of metabolism and expression to the simulation and design of recombinant organisms biorxiv.org/cgi/content/sh… #biorxiv_sysbio

bioRxiv SysBio (@biorxiv_sysbio) 's Twitter Profile Photo

Community metabolic modeling of host-microbiota interactions through multi-objective optimization biorxiv.org/cgi/content/sh… #biorxiv_sysbio

Cory Simon (@corymsimon) 's Twitter Profile Photo

👍 for developing minimal working examples and toy physical systems for prototyping Bayesian optimization algorithms for self-driving labs and educating students about self-driving labs. "frugal twins". chemrxiv.org/engage/chemrxi…

👍 for developing minimal working examples and toy physical systems for prototyping Bayesian optimization algorithms for self-driving labs and educating students about self-driving labs. 
"frugal twins".

chemrxiv.org/engage/chemrxi…
bioRxiv SysBio (@biorxiv_sysbio) 's Twitter Profile Photo

Comparative analysis of metabolic models of microbial communities reconstructed from automated tools and consensus approaches biorxiv.org/cgi/content/sh… #biorxiv_sysbio

bioRxiv SysBio (@biorxiv_sysbio) 's Twitter Profile Photo

Digitize your Biology! Modeling multicellular systems through interpretable cell behavior biorxiv.org/cgi/content/sh… #biorxiv_sysbio

bioRxiv SysBio (@biorxiv_sysbio) 's Twitter Profile Photo

Bayesian model discovery for reverse-engineering biochemical networks from data biorxiv.org/cgi/content/sh… #biorxiv_sysbio

Dr. Tijana Milenkovic (@profmilenkovic) 's Twitter Profile Photo

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 Marinka Zitnik, Michelle M. Li (李敏蕊), Aydin Wells, and all section coordinators.

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 <a href="/marinkazitnik/">Marinka Zitnik</a>, <a href="/_michellemli/">Michelle M. Li (李敏蕊)</a>, <a href="/aydin_wells/">Aydin Wells</a>, and all section coordinators.
UC San Diego Systems Biology (@ucsd_sbrg) 's Twitter Profile Photo

You can now study the transcriptomic responses of E. coli in 100s of different conditions without going into the lab. The largest knowledge-enriched transcriptomic data set comprising over 1000 RNAseq profiles is now available. bit.ly/3EJGBgE DTU Biosustain UCSD Engineering

You can now study the transcriptomic responses of E. coli in 100s of different conditions without going into the lab. The largest knowledge-enriched transcriptomic data set comprising  over 1000 RNAseq profiles is now available. bit.ly/3EJGBgE <a href="/DTUBiosustain/">DTU Biosustain</a> <a href="/UCSDJacobs/">UCSD Engineering</a>
Science Magazine (@sciencemagazine) 's Twitter Profile Photo

AlphaMissense, a tool by DeepMind, can help researchers learn more about the effects that missense mutations have on disease, and could help identify previously unknown disease-causing genes, according to a new Science study. Learn more: scim.ag/49l

AlphaMissense, a tool by DeepMind, can help researchers learn more about the effects that missense mutations have on disease, and could help identify previously unknown disease-causing genes, according to a new Science study.

Learn more: scim.ag/49l
Tiago Peixoto (@tiagopeixoto) 's Twitter Profile Photo

It was always clear that graph neural networks don't actually need the graph for most tasks and don't perform so well when the node features are not doing the heavy lifting. But it seems that often including the graph makes things *worse*: arxiv.org/abs/2309.04332