Author

Victor Tarca

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Achilleas GhinisiD· 1 shared Adi Laurentiu TarcaiD· 1 shared Adomas Malaiska· 1 shared Aharon RaviaiD· 1 shared Alexei A. KoulakoviD· 1 shared Alfonso MonacoiD· 1 shared Alireza GharahighehiiD· 1 shared Ambuj TewariiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Achilleas GhinisORCID

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Author profile →

2 papers

Recent·Most cited

High-Fidelity Tuning of Olfactory Mixture Distances in the Perceptual Space of Smell Through a Community Effort

Vahid Satarifard, Laura Sisson, Yikun Han, Pedro Ilídio, Matej Hladiš, Maxence Lalis, Xuebo Song, Tiffany Yang, Wenjie Yin, Aharon Ravia, Xingyu Zheng, Gaia Andreoletti, Jacob W. Albrecht, Robert Pellegrino, Wang Ze-hua, , Alexei A. Koulakov

The paper presents an ensemble model that improves predictions of perceptual similarity between odor mixtures using a curated dataset and collaborative challenge results.

Proceedings of the National Academy of Sciences · Aug 4, 2026Peer-reviewedNeuroscience

Benchmarking Large Language Models for Predictive Modeling in Biomedical Research With a Focus on Reproductive Health

Reuben D. Sarwal, Victor Tarca, Claire A. Dubin, Nikolaos Kalavros, Gaurav Bhatti, Sanchita Bhattacharya, Atul Janardhan Butte, Roberto Romero, Gustavo A. Stolovitzky, Tomiko Oskotsky, Adi Laurentiu Tarca, Marina Sirota

This study evaluates large language models' ability to generate predictive modeling code for reproductive health using standardized datasets, finding R code generation more successful than Python and some models matching top DREAM challenge teams.

Cell Reports Medicine · Feb 1, 2026Peer-reviewedBioinformatics