Debashis Ghosh
Molecular Biology · 2001–2019
A researcher in the Science corpus: 17 papers; trusts 97 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 149 citations into it; #5,187 of 17,773 by trust here, #1,540 by citations
- Statistics and Probability — 28 citations into it; #9,632 of 12,932 by trust here, #9,233 by citations
- Artificial Intelligence — 24 citations into it
- Genetics — 20 citations into it; #1,917 of 6,854 by trust here, #5,057 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Generative Models — 7 citations into it
- Optimization & Training — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Debashis Ghosh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel R. Rhodes
- Art B. Owen
- Jerome H. Friedman
- John D. Storey
- Kaiming He
- Robert Tibshirani
- Yuhai Wu
- Geoffrey E. Hinton
- Bernhard Schölkopf
- Alex Krizhevsky
Who trusts Debashis Ghosh overall
Papers from Debashis Ghosh's perspective
Ordered by how strongly the researchers Debashis Ghosh trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- The polycomb group protein EZH2 is involved in progression of prostate cancer (2002) — 2,749 citations
- EZH2 is a marker of aggressive breast cancer and promotes neoplastic transformation of breast epithelial cells (2003) — 1,715 citations
- Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. (2004) — 1,021 citations
- Metabolomic Profiles Delineate Potential Role for Sarcosine in Prostate Cancer Progression (2009) — 2,206 citations
- Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models (2007) — 356 citations
- Probabilistic model of the human protein-protein interaction network (2005) — 453 citations
- Comprehensive literature review and statistical considerations for microarray meta-analysis (2012) — 356 citations
- ONCOMINE: a cancer microarray database and integrated data-mining platform. (2004) — 3,463 citations
- Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. (2007) — 2,055 citations
- Androgen-Independent Prostate Cancer Is a Heterogeneous Group of Diseases (2004) — 646 citations
- Autoantibody signatures in prostate cancer. (2005) — 611 citations
- Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression. (2005) — 818 citations
- alpha-Methylacyl coenzyme A racemase as a tissue biomarker for prostate cancer. (2002) — 609 citations
- Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification (2019) — 36 citations
- On estimating regression-based causal effects using sufficient dimension reduction (2017) — 53 citations
- Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer. (2002) — 703 citations
- Delineation of prognostic biomarkers in prostate cancer (2001) — 1,750 citations