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Mapping Transcriptomic Vector Fields of Single Cells

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Outgoing claims: the papers this work cites, builds on, or argues with.

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The molecular and mathematical basis of Waddington's epigenetic landscape: A framework for post‐Darwinian biology?
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Relation of a New Interpretation of Stochastic Differential Equations to Ito Process
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The Potential Landscape of Genetic Circuits Imposes the Arrow of Time in Stem Cell Differentiation
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Silencing the Metallothionein-2A gene inhibits cell cycle progression from G1- to S-phase involving ATM and cdc25A signaling in breast cancer cells
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Real-Time Kinetics of Gene Activity in Individual Bacteria
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A Whole-Cell Computational Model Predicts Phenotype from Genotype
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CellNet: Network Biology Applied to Stem Cell Engineering
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Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
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Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
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Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens
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A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response
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The Architecture of SARS-CoV-2 Transcriptome
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Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin
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High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue
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Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe
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Gene Regulatory Networks Governing Pancreas Development
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Sequence homology between human PARP14 and the SARS-CoV-2 ADP ribose 1’-phosphatase
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SARS-CoV-2 Infection Boosts MX1 Antiviral Effector in COVID-19 Patients
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Transcriptomic profiling of SARS-CoV-2 infected human cell lines identifies HSP90 as target for COVID-19 therapy
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Regularized vector field learning with sparse approximation for mismatch removal
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Bifurcation dynamics in lineage-commitment in bipotent progenitor cells
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Global view of bionetwork dynamics: adaptive landscape
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Exact stochastic simulation of coupled chemical reactions
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Expanding the Nucleoside Recoding Toolkit: Revealing RNA Population Dynamics with 6-Thioguanosine
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A synthetic oscillatory network of transcriptional regulators
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Taking a long, hard look
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Nascent transcript sequencing visualizes transcription at nucleotide resolution
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Rev-Erbs repress macrophage gene expression by inhibiting enhancer-directed transcription
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Single-cell chromatin accessibility reveals principles of regulatory variation
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Synthetic recording and in situ readout of lineage information in single cells
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A single-cell survey of the small intestinal epithelium
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Whole-organism clone tracing using single-cell sequencing
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The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
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Multiplexed quantification of proteins and transcripts in single cells
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A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages
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Single-cell in situ RNA profiling by sequential hybridization
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Validation of noise models for single-cell transcriptomics
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Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput
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Simultaneous epitope and transcriptome measurement in single cells
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Reversed graph embedding resolves complex single-cell trajectories
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Thiol-linked alkylation of RNA to assess expression dynamics
inferredcites →https://doi.org/10.1038/s41467-019-11028-9openalex-snapshot
NASC-seq monitors RNA synthesis in single cells
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DNA-based memory devices for recording cellular events
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RNA velocity of single cells
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The single-cell transcriptional landscape of mammalian organogenesis
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Molecular recording of mammalian embryogenesis
inferredcites →https://doi.org/10.1038/s41586-019-1369-yopenalex-snapshot
scSLAM-seq reveals core features of transcription dynamics in single cells
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A SARS-CoV-2 protein interaction map reveals targets for drug repurposing
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A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
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A comparison of single-cell trajectory inference methods
inferredcites →https://doi.org/10.1038/s41587-020-0480-9openalex-snapshot
Sci-fate characterizes the dynamics of gene expression in single cells
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Generalizing RNA velocity to transient cell states through dynamical modeling
inferredcites →https://doi.org/10.1038/s41587-020-0704-zopenalex-snapshot
RNA timestamps identify the age of single molecules in RNA sequencing
inferredcites →https://doi.org/10.1038/s41587-021-01059-3openalex-snapshot
Functional single-cell genomics of human cytomegalovirus infection
inferredcites →https://doi.org/10.1038/s41592-020-0880-2openalex-snapshot
ZipSeq: barcoding for real-time mapping of single cell transcriptomes
inferredcites →https://doi.org/10.1038/s41592-020-0935-4openalex-snapshot
Massively parallel and time-resolved RNA sequencing in single cells with scNT-seq
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Conserved properties of dentate gyrus neurogenesis across postnatal development revealed by single-cell RNA sequencing
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Potential landscape of high dimensional nonlinear stochastic dynamics with large noise
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A decomposition of irreversible diffusion processes without detailed balance
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Multiconfiguration molecular mechanics algorithm for potential energy surfaces of chemical reactions
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Quantifying the Waddington landscape and biological paths for development and differentiation
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Fundamental limits on dynamic inference from single-cell snapshots
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An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment
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An Approach to Sensitivity Analysis of Computer Models: Part II—Ranking of Input Variables, Response Surface Validation, Distribution Effect and Technique Synopsis
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Potential in stochastic differential equations: novel construction
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Cancer as robust intrinsic state shaped by evolution: a key issues review
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Mapping between dissipative and Hamiltonian systems
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Dissecting newly transcribed and old RNA using GRAND-SLAM
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E2F7 represses a network of oscillating cell cycle genes to control S-phase progression
inferredcites →https://doi.org/10.1093/nar/gkx1190openalex-snapshot
JUNB governs a feed-forward network of TGFβ signaling that aggravates breast cancer invasion
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Lgr5 Stem Cell‐based organoids in human disease
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Epigenetic state network approach for describing cell phenotypic transitions
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Quasi-potential landscape in complex multi-stable systems
inferredcites →https://doi.org/10.1101/2019.12.31.892190openalex-snapshot
Correlated Gene Modules Uncovered by Single-Cell Transcriptomics with High Detectability and Accuracy
inferredcites →https://doi.org/10.1101/592089openalex-snapshot
Modeling latent flows on single-cell data using the Hodge decomposition
inferredcites →https://doi.org/10.1101/710640openalex-snapshot
Mathematical modeling with single-cell sequencing data
inferredcites →https://doi.org/10.1103/physreve.96.040402openalex-snapshot
Emergent Lévy behavior in single-cell stochastic gene expression
inferredcites →https://doi.org/10.1103/physrevlett.94.128701openalex-snapshot
Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network
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Robust Point Matching via Vector Field Consensus
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Principal Graph and Structure Learning Based on Reversed Graph Embedding
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Requirement for ErbB2/ErbB signaling in developing cartilage and bone
inferredcites →https://doi.org/10.1126/sciadv.aba9319openalex-snapshot
Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data
inferredcites →https://doi.org/10.1126/science.aaa6090openalex-snapshot
Spatially resolved, highly multiplexed RNA profiling in single cells
inferredcites →https://doi.org/10.1126/science.aab1601openalex-snapshot
Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing
inferredcites →https://doi.org/10.1126/science.aaf7907openalex-snapshot
Whole-organism lineage tracing by combinatorial and cumulative genome editing
inferredcites →https://doi.org/10.1126/science.aal3753openalex-snapshot
Multipotent peripheral glial cells generate neuroendocrine cells of the adrenal medulla
inferredcites →https://doi.org/10.1126/science.aau5324openalex-snapshot
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
inferredcites →https://doi.org/10.1126/science.aav3751openalex-snapshot
Simultaneous cross-evaluation of heterogeneous E. coli datasets via mechanistic simulation
inferredcites →https://doi.org/10.1126/science.aaw1219openalex-snapshot
Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
inferredcites →https://doi.org/10.1126/science.aaw3381openalex-snapshot
Lineage tracing on transcriptional landscapes links state to fate during differentiation
inferredcites →https://doi.org/10.1126/science.aax3072openalex-snapshot
Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies
inferredcites →https://doi.org/10.1126/science.aba7667openalex-snapshot
Species-specific pace of development is associated with differences in protein stability
inferredcites →https://doi.org/10.1126/science.aba7668openalex-snapshot
Species-specific segmentation clock periods are due to differential biochemical reaction speeds
inferredcites →https://doi.org/10.1126/science.aba7721openalex-snapshot
A human cell atlas of fetal gene expression
inferredcites →https://doi.org/10.1126/science.abf1686openalex-snapshot
Tracking development at the cellular level
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Imaging vector fields using line integral convolution
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Dimensionality Reduction Via Graph Structure Learning
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The Glial Nature of Embryonic and Adult Neural Stem Cells
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Developmental trajectory of prehematopoietic stem cell formation from endothelium
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4sUDRB-seq: measuring genomewide transcriptional elongation rates and initiation frequencies within cells
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dropEst: pipeline for accurate estimation of molecular counts in droplet-based single-cell RNA-seq experiments
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Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics
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Protein velocity and acceleration from single-cell multiomics experiments
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An Introduction to Systems Biology
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An Introduction to Systems Biology
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Dynamical Systems for Biological Modeling
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A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
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Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis
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Cell Fate Decision as High-Dimensional Critical State Transition
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From Understanding the Development Landscape of the Canonical Fate-Switch Pair to Constructing a Dynamic Landscape for Two-Step Neural Differentiation
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The MITF paralog tfec is required in neural crest development for fate specification of the iridophore lineage from a multipotent pigment cell progenitor
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UMAP: Uniform Manifold Approximation and Projection
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On the Mathematics of RNA Velocity I: Theoretical Analysis
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The Strategy of the Genes
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Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention
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The Strategy of the Genes: A Discussion of Some Aspects of Theoretical Biology
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Thyroid hormone regulates distinct paths to maturation in pigment cell lineages

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Single-Cell Analysis of the Transcriptome and Epigenome
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Single‐Cell RNA Sequencing for Precision Oncology: Current State-of-Art
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Inclusion of temporal information in single cell transcriptomics
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Differentiation reveals latent features of aging and an energy barrier in murine myogenesis
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Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe
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Current progress and potential opportunities to infer single-cell developmental trajectory and cell fate
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The emergence and promise of single-cell temporal-omics approaches
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Inference of high-resolution trajectories in single-cell RNA-seq data by using RNA velocity
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The promise of single-cell genomics in plants
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Spatio-temporal mRNA tracking in the early zebrafish embryo
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Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
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Lineage tracing meets single-cell omics: opportunities and challenges
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Generalizing RNA velocity to transient cell states through dynamical modeling
inferred← citeshttps://doi.org/10.1038/s41587-022-01209-1openalex-snapshot
CoSpar identifies early cell fate biases from single-cell transcriptomic and lineage information
inferred← citeshttps://doi.org/10.1038/s41592-020-0935-4openalex-snapshot
Massively parallel and time-resolved RNA sequencing in single cells with scNT-seq
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CellRank for directed single-cell fate mapping
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Computing the Riemannian curvature of image patch and single-cell RNA sequencing data manifolds using extrinsic differential geometry
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Dynamics of transcriptional and post-transcriptional regulation
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Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball patterned arrays
inferred← citeshttps://doi.org/10.1101/2021.05.02.442314openalex-snapshot
Genomic sequences and RNA binding proteins predict RNA splicing kinetics in various single-cell contexts
inferred← citeshttps://doi.org/10.1101/2021.09.21.461257openalex-snapshot
Transiently increased intercommunity regulation characterizes concerted cell phenotypic transition
inferred← citeshttps://doi.org/10.1101/2021.10.21.465301openalex-snapshot
High-resolution spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae
inferred← citeshttps://doi.org/10.1101/2021.10.23.465550openalex-snapshot
Spatiotemporal transcriptome at single-cell resolution reveals key radial glial cell population in axolotl telencephalon development and regeneration
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Mathematical modeling with single-cell sequencing data
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Single-Cell Analysis for Whole-Organism Datasets
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Protein velocity and acceleration from single-cell multiomics experiments
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A generalization of t-SNE and UMAP to single-cell multimodal omics
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BRIE2: computational identification of splicing phenotypes from single-cell transcriptomic experiments
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RNA velocity unraveled
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Pyro-Velocity: Probabilistic RNA Velocity inference from single-cell data
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Machine Learning Approaches on High Throughput NGS Data to Unveil Mechanisms of Function in Biology and Disease
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A Logic-incorporated Gene Regulatory Network Deciphers Principles in Cell Fate Decisions
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A Logic-incorporated Gene Regulatory Network Deciphers Principles in Cell Fate Decisions
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