相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Modeling Basins of Attraction for Breast Cancer Using Hopfield Networks
Alessandra Jordano Conforte et al.
FRONTIERS IN GENETICS (2020)
Construction of a human cell landscape at single-cell level
Xiaoping Han et al.
NATURE (2020)
Single-cell RNA-seq analysis software providers scramble to offer solutions
Michael Eisenstein
NATURE BIOTECHNOLOGY (2020)
scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Xin Shao et al.
ISCIENCE (2020)
Single-cell Transcriptomic Analysis
Zhihong Zheng et al.
COMPREHENSIVE PHYSIOLOGY (2020)
Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters
Sergii Domanskyi et al.
BMC BIOINFORMATICS (2019)
Comprehensive Integration of Single-Cell Data
Tim Stuart et al.
CELL (2019)
Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic data
Laura Cantini et al.
SCIENTIFIC REPORTS (2019)
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Tamim Abdelaal et al.
GENOME BIOLOGY (2019)
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer
Matthew A. Care et al.
NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2019)
PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data
Oscar Franzen et al.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2019)
Systematic Evaluation of Molecular Networks for Discovery of Disease Genes
Justin K. Huang et al.
CELL SYSTEMS (2018)
Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma
Guy Ledergor et al.
NATURE MEDICINE (2018)
SCANPY: large-scale single-cell gene expression data analysis
F. Alexander Wolf et al.
GENOME BIOLOGY (2018)
Novel Hybrid Phenotype Revealed in Small Cell Lung Cancer by a Transcription Factor Network Model That Can Explain Tumor Heterogeneity
Akshata R. Udyavar et al.
CANCER RESEARCH (2017)
Massively parallel digital transcriptional profiling of single cells
Grace X. Y. Zheng et al.
NATURE COMMUNICATIONS (2017)
Assessment of Single Cell RNA-Seq Normalization Methods
Bo Ding et al.
G3-GENES GENOMES GENETICS (2017)
Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems
Anthony Szedlak et al.
PLOS COMPUTATIONAL BIOLOGY (2017)
Modeling the Attractor Landscape of Disease Progression: a Network-Based Approach
Atefeh Taherian Fard et al.
FRONTIERS IN GENETICS (2017)
MitoCarta2.0: an updated inventory of mammalian mitochondrial proteins
Sarah E. Calvo et al.
NUCLEIC ACIDS RESEARCH (2016)
Not just a colourful metaphor: modelling the landscape of cellular development using Hopfield networks
Atefeh Taherian Fard et al.
NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2016)
Classification of low quality cells from single-cell RNA-seq data
Tomislav Ilicic et al.
GENOME BIOLOGY (2016)
Robust enumeration of cell subsets from tissue expression profiles
Aaron M. Newman et al.
NATURE METHODS (2015)
Characterizing cancer subtypes as attractors of Hopfield networks
Stefan R. Maetschke et al.
BIOINFORMATICS (2014)
Control of Asymmetric Hopfield Networks and Application to Cancer Attractors
Anthony Szedlak et al.
PLOS ONE (2014)
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Michael I. Love et al.
GENOME BIOLOGY (2014)
Isolation-Based Anomaly Detection
Fei Tony Liu et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2012)
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Mark D. Robinson et al.
BIOINFORMATICS (2010)
分享论文
