Sakshi Khaiwal
@sakshikhaiwal.bsky.social
Postdoctoral researcher @CNRS (Gianni Liti's Lab). Interested in applications of AI to high-throughput genomics and omics data in yeast.
Reposted by Sakshi Khaiwal
#ResultatScientifique 🔎 | Saviez-vous que l’IA peut aider à prévoir comment un organisme réagit à son environnement ? Des scientifiques utilisent la levure comme modèle et réussissent à prédire plus de 200 traits grâce au machine learning
✍️ @litinice.bsky.social
📕 @molsystbiol.org | buff.ly/MliXXKz
✍️ @litinice.bsky.social
📕 @molsystbiol.org | buff.ly/MliXXKz
September 1, 2025 at 4:01 PM
#ResultatScientifique 🔎 | Saviez-vous que l’IA peut aider à prévoir comment un organisme réagit à son environnement ? Des scientifiques utilisent la levure comme modèle et réussissent à prédire plus de 200 traits grâce au machine learning
✍️ @litinice.bsky.social
📕 @molsystbiol.org | buff.ly/MliXXKz
✍️ @litinice.bsky.social
📕 @molsystbiol.org | buff.ly/MliXXKz
Reposted by Sakshi Khaiwal
Delighted to see @sakshikhaiwal.bsky.social work in print www.embopress.org/doi/full/10....
Huge thank to @univcotedazur.bsky.social for providing extensive support on this project, @pedrobeltrao.bsky.social and Jonas groups for huge help, @cnrs.fr @ircan.bsky.social
Huge thank to @univcotedazur.bsky.social for providing extensive support on this project, @pedrobeltrao.bsky.social and Jonas groups for huge help, @cnrs.fr @ircan.bsky.social
Predicting natural variation in the yeast phenotypic landscape with machine learning | Molecular Systems Biology
imageimageAn ensemble of phenotypes measured in the genome-sequenced 1,011 S. cerevisiae collection were coupled with genomics and molecular-level data to benchmark machine learning models for quantitative phenotypic predictions at scale. Large-...
www.embopress.org
September 1, 2025 at 9:13 AM
Delighted to see @sakshikhaiwal.bsky.social work in print www.embopress.org/doi/full/10....
Huge thank to @univcotedazur.bsky.social for providing extensive support on this project, @pedrobeltrao.bsky.social and Jonas groups for huge help, @cnrs.fr @ircan.bsky.social
Huge thank to @univcotedazur.bsky.social for providing extensive support on this project, @pedrobeltrao.bsky.social and Jonas groups for huge help, @cnrs.fr @ircan.bsky.social