Salil Garg

Yale University

*This is an algorithmically generated author record based on publicly available information.

See Latest Publications

See Most Cited Publications

SciProfiles

ORCID Profile

Google Scholar

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Yale University

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years

Research Subjects

Research Interests

Salil Garg has a total of 38 co-authors. Here are the top co-authors by number of shared publications:

Alexander Farahani
Departments of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
22 shared publications
Austin Hendricks
Department of Biology, University of New Mexico
22 shared publications
Enrico Moiso
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
22 shared publications
Hetal Desai Marble
Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
22 shared publications
Jochen K. Lennerz
BostonGene, Waltham, USA
22 shared publications
Samuel Mildrum
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
22 shared publications

Latest Publications

Sort by

Website
Google Scholar
Cited by 3
- 3 June 2024
- Published by American Association for Cancer Research (AACR) in Cancer Discovery
A Deep Learning Model for Cancer Type Prediction Sets a New Standard
by Salil Garg
Summary: Classifying tumor types using machine learning approaches is not always trivial, particularly for challenging cases such as cancers of unknown primary. In this issue of Cancer Discovery, Darmofal and colleagues describe a new tool that uses information from a clinical sequencing panel to diagnose tumor type, and show that the model is particularly robust.See related article by Darmofal et al., p. 1064 (1).
Website
Google Scholar
- 3 June 2024
- Published by American Association for Cancer Research (AACR) in Cancer Discovery
A Deep Learning Model for Cancer Type Prediction Sets a New Standard
by Salil Garg
Summary: Classifying tumor types using machine learning approaches is not always trivial, particularly for challenging cases such as cancers of unknown primary. In this issue of Cancer Discovery, Darmofal and colleagues describe a new tool that uses information from a clinical sequencing panel to diagnose tumor type, and show that the model is particularly robust.See related article by Darmofal et al., p. 1064 (1).
Cited by 3
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Figure from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Figure from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Figure from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Figure from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin

Show all