Avi Srivastava
Molecular Biology · 2018–2022
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 113 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Computational Mechanics — 5 citations into it
Whom Avi Srivastava trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Avi Srivastava's perspective
Ordered by how strongly the researchers Avi Srivastava trusts endorse each paper. Same corpus, a different order for every researcher.
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
- Large-scale simultaneous measurement of epitopes and transcriptomes in single cells
- The single cell transcriptional landscape of mammalian organogenesis
- Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data (bioRxiv)
- Diffusion pseudotime robustly reconstructs lineage branching
- Batch effects in single-cell RNA sequencing data are corrected by matching mutual nearest neighbours (Nature Biotechnology)
- Fast, sensitive, and accurate integration of single cell data with Harmony (Nature Methods)
- Transposition of native chromatin for multimodal regulatory analysis and personal epigenomics
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
Their papers
- Dictionary learning for integrative, multimodal, and massively scalable single-cell analysis (2022) — 3,442 citations
- Integrated analysis of multimodal single-cell data (2020) — 12,409 citations
- Bioconda: sustainable and comprehensive software distribution for the life sciences (2018) — 1,435 citations
- Single-cell chromatin state analysis with Signac (2021) — 1,363 citations