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ORCIDSubhajyoti De
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2020 – today
- 2023
[j11]Bassel Ghaddar, Subhajyoti De:
Hierarchical and automated cell-type annotation and inference of cancer cell of origin with Census. Bioinform. 39(12) (2023)- [j10]Bassel Ghaddar, Martin J. Blaser
, Subhajyoti De:
Denoising sparse microbial signals from single-cell sequencing of mammalian host tissues. Nat. Comput. Sci. 3(9): 741-747 (2023) - 2020
- [j9]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3655-3666 (2020) - [i1]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. CoRR abs/2007.05448 (2020)
2010 – 2019
- 2019
- [c3]Hui Qu, Gregory M. Riedlinger, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Subhajyoti De, Dimitris N. Metaxas:
Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology Images. ISBI 2019: 900-904 - [c2]Hui Qu, Zhennan Yan, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas:
Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss. MICCAI (1) 2019: 378-386 - [c1]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images. MIDL 2019: 390-400 - 2018
- [j8]Igor B. Rogozin, Youri I. Pavlov, Alexander Goncearenco, Subhajyoti De, Artem G. Lada, Eugenia Poliakov, Anna R. Panchenko, David N. Cooper:
Mutational signatures and mutable motifs in cancer genomes. Briefings Bioinform. 19(6): 1085-1101 (2018) - 2016
- [j7]Kyle S. Smith, Vinod Kumar Yadav, Shanshan Pei, Daniel A. Pollyea, Craig T. Jordan, Subhajyoti De:
SomVarIUS: somatic variant identification from unpaired tissue samples. Bioinform. 32(6): 808-813 (2016) - [j6]Jennifer Hintzsche, Jihye Kim, Vinod Kumar Yadav, Carol Amato, Steven E. Robinson, Eric Seelenfreund, Yiqun Shellman, Joshua Wisell, Allison Applegate, Martin McCarter, Neil Box, John Tentler, Subhajyoti De, William A. Robinson, Aik Choon Tan:
IMPACT: a whole-exome sequencing analysis pipeline for integrating molecular profiles with actionable therapeutics in clinical samples. J. Am. Medical Informatics Assoc. 23(4): 721-730 (2016) - 2015
- [j5]Vinod Kumar Yadav, Subhajyoti De:
An assessment of computational methods for estimating purity and clonality using genomic data derived from heterogeneous tumor tissue samples. Briefings Bioinform. 16(2): 232-241 (2015) - 2014
- [j4]Subhajyoti De, Brent S. Pedersen, Katerina J. Kechris:
The dilemma of choosing the ideal permutation strategy while estimating statistical significance of genome-wide enrichment. Briefings Bioinform. 15(6): 919-928 (2014) - [j3]Ondrej Podlaha, Subhajyoti De, Mithat Gonen, Franziska Michor:
Histone Modifications Are Associated with Transcript Isoform Diversity in Normal and Cancer Cells. PLoS Comput. Biol. 10(6) (2014) - 2013
- [j2]Brent S. Pedersen, Ivana V. Yang, Subhajyoti De:
CruzDB: software for annotation of genomic intervals with UCSC genome-browser database. Bioinform. 29(23): 3003-3006 (2013)
2000 – 2009
- 2009
- [j1]Diego Miranda-Saavedra, Subhajyoti De, Matthew W. B. Trotter, Sarah A. Teichmann, Berthold Göttgens:
BloodExpress: a database of gene expression in mouse haematopoiesis. Nucleic Acids Res. 37(Database-Issue): 873-879 (2009)
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