"Transcriptomics data" trang 1 - tải miễn phí từ tailieunhanh
A regulation probability model-based metaanalysis of multiple transcriptomics data sets for cancer biomarker identification

A regulation probability model-based metaanalysis of multiple transcriptomics data sets for cancer biomarker identification
11    57    1
ATGC transcriptomics: A web-based application to integrate, explore and analyze de novo transcriptomic data

ATGC transcriptomics: A web-based application to integrate, explore and analyze de novo transcriptomic data
9    54    1
SpatialCPie: An R/Bioconductor package for spatial transcriptomics cluster evaluation

SpatialCPie: An R/Bioconductor package for spatial transcriptomics cluster evaluation
7    58    1
Seamless integration of image and molecular analysis for spatial transcriptomics workflows

Seamless integration of image and molecular analysis for spatial transcriptomics workflows
7    41    2
GCNG: Graph convolutional networks for inferring gene interaction from spatial transcriptomics data

GCNG: Graph convolutional networks for inferring gene interaction from spatial transcriptomics data
16    28    1
PIVOT: Platform for interactive analysis and visualization of transcriptomics data

PIVOT: Platform for interactive analysis and visualization of transcriptomics data
8    47    1
High-level integration of murine intestinal transcriptomics data highlights the importance of the complement system in mucosal homeostasis

High-level integration of murine intestinal transcriptomics data highlights the importance of the complement system in mucosal homeostasis
16    35    2
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
18    83    1
SCOUP: A probabilistic model based on the Ornstein–Uhlenbeck process to analyze single-cell expression data during differentiation

SCOUP: A probabilistic model based on the Ornstein–Uhlenbeck process to analyze single-cell expression data during differentiation
16    56    1
Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models

Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models
24    29    1
The carbonate concentration mechanism of Pyropia yezoensis (Rhodophyta): Evidence from transcriptomics and biochemical data

The carbonate concentration mechanism of Pyropia yezoensis (Rhodophyta): Evidence from transcriptomics and biochemical data
12    29    1
Understanding the liver under heat stress with statistical learning: An integrated metabolomics and transcriptomics computational approach

Understanding the liver under heat stress with statistical learning: An integrated metabolomics and transcriptomics computational approach
16    40    1
Single cell RNA-seq data clustering using TF-IDF based methods

Single cell RNA-seq data clustering using TF-IDF based methods
15    32    1
SpatialDWLS: Accurate deconvolution of spatial transcriptomic data

SpatialDWLS: Accurate deconvolution of spatial transcriptomic data
10    49    1
The proBAM and proBed standard formats: Enabling a seamless integration of genomics and proteomics data

The proBAM and proBed standard formats: Enabling a seamless integration of genomics and proteomics data
8    44    3
SCANPY: Large-scale single-cell gene expression data analysis

SCANPY: Large-scale single-cell gene expression data analysis
5    49    3
A comparison of automatic cell identification methods for single-cell RNA sequencing data

A comparison of automatic cell identification methods for single-cell RNA sequencing data
19    34    3
EmptyDrops: Distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

EmptyDrops: Distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data
9    18    1
Spatial multi-omics: Novel tools to study the complexity of cardiovascular diseases

Spatial multi-omics: Novel tools to study the complexity of cardiovascular diseases
17    13    1
Adaptively capturing the heterogeneity of expression for cancer biomarker identification

Adaptively capturing the heterogeneity of expression for cancer biomarker identification
12    54    1