Author

Sachin Vishwakarma

Centre de Recherche en Cancérologie de Marseille

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 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1

Frequent Co-Authors

Pedro J. BallesteriD· 2 shared Saiveth Hernández-Hernández· 2 shared Conception Paul· 1 shared Cyrine Chanchabi· 1 shared Damiana Pierogostino· 1 shared Ilaria CicaliniiD· 1 shared Michael HahneiD· 1 shared Vincent CouloniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersCancer Biology

Pedro J. BallesterORCID

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2 papers

Recent·Most cited

Machine Learning-Based Drug Response Prediction Identifies Novel Therapeutic Candidates for Colorectal Cancer Cell Line KM-12

Cyrine Chanchabi, Conception Paul, Vincent Coulon, Ilaria Cicalini, Damiana Pierogostino, Sachin Vishwakarma, Saiveth Hernández-Hernández, Pedro J. Ballester, Michael Hahne

The paper uses machine learning to predict drug responses in colorectal cancer cells, identifying novel compounds with cytotoxic or cytostatic effects.

bioRxiv · Feb 24, 2025 · PreprintCancer Biology

Graph neural networks best guide phenotypic virtual screening on cancer cell lines

Sachin Vishwakarma, Saiveth Hernández-Hernández, Pedro J. Ballester

The paper evaluates machine learning algorithms for phenotypic virtual screening of cancer cell lines and finds that a graph-based deep neural network performs best.

bioRxiv · Jun 26, 2024 · PreprintBioinformatics