「eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells」の関連論文
-
Identification of periodic attractors in Boolean networks using a priori information
-
Identification and analysis of functional neural circuits that regulate behavioral strategies for thermotaxis in the nematode Caenorhabditis elegans
-
A universal tool for predicting differentially active features in single-cell and spatial genomics data
-
A digital twin reproducing gene regulatory network dynamics of early Ciona embryos indicates robust buffers in the network
-
Weighted minimum feedback vertex sets and implementation in human cancer genes detection
-
Model-based prediction of spatial gene expression via generative linear mapping
-
in silico analysis of RNA expression profiles as potential biomarkers under spaceflight
-
Single-cell transcriptome atlas of Drosophila gastrula 2.0
-
In silico analysis of inner ear development using public whole embryonic body single-cell RNA-sequencing data
-
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships
-
In silico Statistical Mechanics of Protein Conformational Landscape
-
Development of functional cellomics for comprehensive analysis of the relationship between neural networks and behavior in Caenorhabditis elegans
-
余事象モデルに基づく未学習クラス推定法と生体信号分類への応用
-
RENGE infers gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations
-
Five Patterns of Cell Signaling Associated with Cell Behavior
-
Automated measurement of fluorescence signals reveals a significant increase of the graft-derived neurite extension in neonates compared to aged rats
-
DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE prediction
-
Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data
-
MarpolBase Expression: A Web-Based, Comprehensive Platform for Visualization and Analysis of Transcriptomes in the Liverwort Marchantia polymorpha
-
HPOFiller: identifying missing protein–phenotype associations by graph convolutional network
-
A Framework of Mapping EHR Data to Disease Knowledge Presenting Causal Chains of Abnormal States : Chronic Kidney Disease Exemplar
-
Development and integration of computational tools to decipher the structure & dynamics of biomolecules from low-resolution experimental data
-
MetNetComp: Database for minimal and maximal gene-deletion strategies for growth-coupled production of genome-scale metabolic networks
-
Imaging Voltage with Microbial Rhodopsins
-
Biomolecular nanotechnology-based approaches to investigate nucleic acid interactions
-
Adaptive discrimination between harmful and harmless antigens in the immune system by predictive coding
-
Genome-wide profiling of histone H3K4me3 and H3K27me3 modifications in individual blastocysts by CUT&Tag without a solid support (NON-TiE-UP CUT&Tag)
-
Anatomical Study on Neuronal Circuitry in Medial Prefrontal Cortex and Development of a New Device for Optical Study [an abstract of entire text]
-
ショウジョウバエ原腸胚cephalic furrow形成における空間的パターンと形態形成機構
-
In silico study of RNA-seq and H3 Trimethylation ChIP-seq analysis in combination with laser-microdissection on human lung cancer cells
-
Development of continuum-based particle models of cell growth and proliferation for simulating tissue morphogenesis
-
A Study on Assessment Methods of Spatial Cognition during Navigation: Focusing on Behavior and Brain Mechanisms
-
Information-transfer characteristics in network motifs
-
Identification of Predictor Genes of Feed Efficiency in Beef Cattle by Applying Machine Learning (ML) Methods to Multi-tissue Transcriptome Data
-
Comparative study of mammalian evolution by genomic analyses and pluripotent stem cell technology
-
Image-based parameter inference for epithelial mechanics
-
Prediction of pharmacological activities from chemical structures with graph convolutional neural networks
-
Different Recognition of Protein Features Depending on Deep Learning Models: A Case Study of Aromatic Decarboxylase UbiD
-
Gradient-based parameter optimization method to determine membrane ionic current composition in human induced pluripotent stem cell-derived cardiomyocytes
-
ワーキングメモリ処理における位相移動エントロピーを用いた方向情報フロー
-
Studies on Circadian Clock RNA Methylation and Micturition Rhythm
-
Deep Learning Based Intelligent Diagnosis Methods for Rotating Machinery Using Vibration Signal-Approach by Signal Preprocessed SAE and Improved CNN
-
Image segmentation of the ventricular septum in fetal cardiac ultrasound videos based on deep learning using time-series information (本文)
-
Panning-based Virus Receptor Screening with Cellular cDNA Library
-
The application of video and Image recognition technology with neural network to conservation biology
-
Improving Compound–Protein Interaction Prediction by Self-Training with Augmenting Negative Samples
-
The network of soil microbial community: its structure and dynamics
-
Evolutionary genetics of socioemotional behavior in humans and other mammals
-
Current status of genome‐wide epigenetic profiling of mammalian preimplantation embryos
-
Large-scale discovery of male reproductive tract-specific genes through analysis of RNA-seq datasets