Debashis Sahoo
Associate Professor
Applies Boolean network models and machine learning to gene expression data to find disease biomarkers and drug targets.
Debashis Sahoo's lab at UCSD works on medical imaging & healthcare AI and proteins, drugs & materials. 3 papers since 2023. 5 PhD students and 2 master's students. 45 alumni. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 0%
- PhD students
- 5
- MS students
- 2
- alumni listed
- 45
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 3 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI0 papers
- Proteins, drugs & materials0 papers
- network models0 papers
- expression0 papers
- biomarkers0 papers
Paper list
From the lab homepage.
20233 papers
- Mar 13: .03.11.532245Tindle C, Katkar GD, Fonseca AG, Taheri S, Lee J, Maity P, Sayed IM, Ibeawuchi SR, Vidales E, Pranadinata RF, Fuller M, Stec DL, Anandachar MS, Perry K, Le HN, Ear J, Boland BS, Sandborn WJ, Sahoo D, Das S, Ghosh P. A Living Organoid Biobank of Crohn's Disease Patients Reveals Molecular Subtypes for Personalized Therapeutics
- Mar;26(2):286-297Vo D, Ghosh P, Sahoo D. Artificial intelligence-guided discovery of gastric cancer continuum
- JanZage PE, Huo Y, Subramonian D, Le Clorennec C, Ghosh P, Sahoo D. Identification of a novel gene signature for neuroblastoma differentiation using a Boolean implication network
Where alumni went45 listed
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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