Arpita Ghosh
Applied Water Science · with Das · 2015
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Arpita Ghosh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Arpita Ghosh's perspective
Ordered by how strongly the researchers Arpita Ghosh trusts endorse each paper. Same corpus, a different order for every researcher.
- Agricultural waste material as potential adsorbent for sequestering heavy metal ions from aqueous solutions - a review. (Bioresource Technology)
- Biosorption of heavy metal ions using wheat based biosorbents--a review of the recent literature. (Bioresource Technology)
- Artificial neural network (ANN) approach for modelling of arsenic (III) biosorption from aqueous solution by living cells of Bacillus cereus biomass
- Challenges in unsupervised clustering of single-cell RNA-seq data
- Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Model (Computational and Structural Biotechnology Journal)
- Comprehensive integration of single-cell data (bioRxiv)
- Visualizing Large-scale and High-dimensional Data
- A global geometric framework for nonlinear dimensionality reduction.
- Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling (Nature Methods)
- Supervised classification enables rapid annotation of cell atlases (Nature Methods)