Generative Deep Learning-Aided Design of Flexible Molecular Crystals by Chenyang Zhao (533763)

“…A convolutional neural network (CNN) was trained to predict and discriminate the mechanical properties of unknown molecules, based on the data collected from the extant literature and compared with multilayer perceptron (MLP) with backpropagation algorithm. …”

Generative Deep Learning-Aided Design of Flexible Molecular Crystals by Chenyang Zhao (533763)

“…A convolutional neural network (CNN) was trained to predict and discriminate the mechanical properties of unknown molecules, based on the data collected from the extant literature and compared with multilayer perceptron (MLP) with backpropagation algorithm. …”

Identification of Neuronal Activity from Extracelullar Recordings with Ground-truth Patch Clamp by Carina Germer (18692413)

Spatial patterns of the CAPs estimated from both splits are reproducible and strongly correlated with at least one of the basis CAPs. by Kangjoo Lee (11648345)

Data Sheet 1_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.csv 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.…”

Video 2_Replicating associative learning of rodents with a neuromorphic robot in an open-field arena.mp4 by Tianze Liu (13922196)

Video 1_Replicating associative learning of rodents with a neuromorphic robot in an open-field arena.mp4 by Tianze Liu (13922196)

EEG Signals for Robust Cognitive Workload Recognition Under Noisy Conditions.zip by Fariya Bintay Shafi (21692408)

iNCog-EEG (ideal vs. Noisy Cognitive EEG for Workload Assessment) Dataset by Fariya Bintay Shafi (21692408)

Machine Learning Study of Methane Activation by Gas-Phase Species by Ying Xu (9172)

“…In this study, by assembling a data set encompassing a total of 134 gas-phase metal species documented in the literature for methane activation via the mechanism of oxidative addition, machine learning (ML) models based on the backpropagation artificial neural network algorithm have been established with a range of intrinsic electronic properties of these species as features and the experimental rate constants of the reactions with methane as the target variables. …”

Machine Learning Study of Methane Activation by Gas-Phase Species by Ying Xu (9172)

“…In this study, by assembling a data set encompassing a total of 134 gas-phase metal species documented in the literature for methane activation via the mechanism of oxidative addition, machine learning (ML) models based on the backpropagation artificial neural network algorithm have been established with a range of intrinsic electronic properties of these species as features and the experimental rate constants of the reactions with methane as the target variables. …”

Forward genetic screen identifies 28 dark yolk mutants. by McKenna Feltes (11242085)

CS activities to cues and their correlations with reward and sensorimotor variables. by Huu Hoang (9188747)

Sparse canonical-correlation analysis (sCCA) of TC scores with reinforcement-learning and sensorimotor-control variables. by Huu Hoang (9188747)

Q-learning model of a licking behavior during Go/No-go auditory discrimination task. by Huu Hoang (9188747)

Exploring the spatial architecture of the human dorsolateral prefrontal cortex (DPLFC). by Huamei Li (8815955)

Exploring the spatial architecture of the human thymus. by Huamei Li (8815955)

Spatial characterization and cell-type-specific genes in mouse brain tissue. by Huamei Li (8815955)

Cell2Spatial enables versatile applications across various analytical domains. by Huamei Li (8815955)

Performance assessment of Cell2Spatial on real and simulated mouse brain spatial transcriptomics (ST) data. by Huamei Li (8815955)