BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 35391938)

  • 21. Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape.
    Hie B; Cho H; DeMeo B; Bryson B; Berger B
    Cell Syst; 2019 Jun; 8(6):483-493.e7. PubMed ID: 31176620
    [TBL] [Abstract][Full Text] [Related]  

  • 22. scIGANs: single-cell RNA-seq imputation using generative adversarial networks.
    Xu Y; Zhang Z; You L; Liu J; Fan Z; Zhou X
    Nucleic Acids Res; 2020 Sep; 48(15):e85. PubMed ID: 32588900
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Data Analysis in Single-Cell Transcriptome Sequencing.
    Gao S
    Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Normalization of Single-Cell RNA-Seq Data.
    Risso D
    Methods Mol Biol; 2021; 2284():303-329. PubMed ID: 33835450
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Protocol for Identification and Removal of Doublets with DoubletDecon.
    DePasquale EAK; Schnell D; Chetal K; Salomonis N
    STAR Protoc; 2020 Sep; 1(2):100085. PubMed ID: 33111118
    [TBL] [Abstract][Full Text] [Related]  

  • 26. CellDepot: A Unified Repository for scRNA-seq Data and Visual Exploration.
    Lin D; Chen Y; Negi S; Cheng D; Ouyang Z; Sexton D; Li K; Zhang B
    J Mol Biol; 2022 Jun; 434(11):167425. PubMed ID: 34971674
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Optimized protocol for isolation of high-quality single cells from the female mouse reproductive tract tissues for single-cell RNA sequencing.
    Gurumurthy RK; Kumar N; Chumduri C
    STAR Protoc; 2021 Dec; 2(4):100970. PubMed ID: 34841281
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Preparing Highly Viable Single-Cell Suspensions from Mouse Pancreatic Islets for Single-Cell RNA Sequencing.
    Lee H; Engin F
    STAR Protoc; 2020 Dec; 1(3):100144. PubMed ID: 33377038
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT.
    Hsu CW; Shahan R; Nolan TM; Benfey PN; Ohler U
    STAR Protoc; 2022 Dec; 3(4):101729. PubMed ID: 36181683
    [TBL] [Abstract][Full Text] [Related]  

  • 30. RNA-Seq Data Analysis in Galaxy.
    Batut B; van den Beek M; Doyle MA; Soranzo N
    Methods Mol Biol; 2021; 2284():367-392. PubMed ID: 33835453
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Protocol to estimate cell type proportions from bulk RNA-seq using DAISM-DNN
    Lin Y; Wu S; Xiao X; Zhao J; Wang M; Li H; Wang K; Zhang M; Zheng F; Yang W; Zhang L; Han J; Yu R
    STAR Protoc; 2022 Sep; 3(3):101587. PubMed ID: 35942344
    [TBL] [Abstract][Full Text] [Related]  

  • 32. TARGET-Seq: A Protocol for High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing.
    Rodriguez-Meira A; O'Sullivan J; Rahman H; Mead AJ
    STAR Protoc; 2020 Dec; 1(3):100125. PubMed ID: 33377019
    [TBL] [Abstract][Full Text] [Related]  

  • 33. CloneSeq - Single-cell clonal 3D culture and analysis protocol.
    Sun X; Bavli D; Kozulin C; Motzik A; Buxboim A; Ram O
    STAR Protoc; 2021 Dec; 2(4):100794. PubMed ID: 34632413
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Computational workflow for functional characterization of COVID-19 through secondary data analysis.
    Ghandikota S; Sharma M; Jegga AG
    STAR Protoc; 2021 Dec; 2(4):100873. PubMed ID: 34746856
    [TBL] [Abstract][Full Text] [Related]  

  • 35. SHARP: hyperfast and accurate processing of single-cell RNA-seq data via ensemble random projection.
    Wan S; Kim J; Won KJ
    Genome Res; 2020 Feb; 30(2):205-213. PubMed ID: 31992615
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Preparation of mouse pancreatic tumor for single-cell RNA sequencing and analysis of the data.
    Surumbayeva A; Kotliar M; Gabitova-Cornell L; Kartashov A; Peri S; Salomonis N; Barski A; Astsaturov I
    STAR Protoc; 2021 Dec; 2(4):100989. PubMed ID: 34927097
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC.
    Abugessaisa I; Hasegawa A; Katayama S; Kere J; Kasukawa T
    STAR Protoc; 2023 Mar; 4(1):102038. PubMed ID: 36853658
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Computational workflow for investigating highly variable genes in single-cell RNA-seq across multiple time points and cell types.
    Arora JK; Opasawatchai A; Teichmann SA; Matangkasombut P; Charoensawan V
    STAR Protoc; 2023 Sep; 4(3):102387. PubMed ID: 37379219
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina.
    Dharmat R; Kim S; Li Y; Chen R
    Methods Mol Biol; 2020; 2092():159-186. PubMed ID: 31786788
    [TBL] [Abstract][Full Text] [Related]  

  • 40. scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning.
    Lin Y; Wu TY; Wan S; Yang JYH; Wong WH; Wang YXR
    Nat Biotechnol; 2022 May; 40(5):703-710. PubMed ID: 35058621
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.