Differential expression of DSRGs, PPI, and functional enrichment analysis for DSRGs in AMI. by Nan Huang (464390)

Temporal analysis of epithelial cells. by Yanfeng Xue (465345)

Subjects: “…Cell Biology…”

Average classification accuracies for fft and stack methods, LSTM, Bi-LSTM, and CNN algorithms. by Jamila Akhter (21144252)

Dimension reduction and cell annotation in scRNA-seq GSE131882. by Hailin Li (453832)

Subjects:

Image 6_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”

Image 5_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”

Image 3_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”

Image 1_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.jpeg by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”

Image 4_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”

Image 2_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”

Predictive performance evaluation on real heart data with selected cell types. by Nuray Sogunmez Erdogan (21533872)

Subjects:

Precise spatial delineation of brain cell types in adult mouse brain. by Nuray Sogunmez Erdogan (21533872)

Subjects:

Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer. by Luca Musella (19986312)

Co-existence atlas of cell types in mouse kidney. by Huamei Li (8815955)

Subjects: “…Cell Biology…”

UMAP Plot for Cell Clustering and trajectory analysis. by Meili Liu (327309)

Subjects:

Training accuracy/loss as a function of epochs for different datasets. by Hiam Alquran (17636906)

Profile of dysregulated proteins in SCA1 cells containing polyQ inclusions. by Aimilia-Christina Vagiona (17584758)

Single-cell landscape characterization in LUAD. by Yanfeng Xue (465345)

Subjects: “…Cell Biology…”

Analyses of Immune microenvironment and functions between m7G clusters. by Jiangli Zhao (2308330)

“…<p>(A) Multi-algorithms suggest different infiltrated cell types between m7G clusters. …”

Demonstration of en-CSA’s exploration-exploitation capability through benchmark functions. by Sarah A. Alzakari (19704611)

Subjects: