Application of the algorithm to unseen data. Presynaptic neurons labelled by rabies viral injection into layer 2/3 primary visual cortex in Penk-Cre mice. by Adam L. Tyson (10892822)

Subjects:

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

Annotating multiple cell types. by Maxwell W. Libbrecht (3468923)

Subjects: “…Cell Biology…”

PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. by Gursimran Singh (575288)

Subjects:

Fraction of selective neurons as a function of the imaging signal-to-noise ratio. by Ziqiang Wei (5953964)

DE genes detected by different DEA algorithms. by Jie Xue (417504)

“…Here, we compare 6 performance metrics on both simulated and real scRNA-seq datasets to assess the adaptability of 8 DEA approaches, with a particular emphasis on how well they function under small biological replications. Our findings suggest that DEA algorithms extended from bulk RNA-seq are still competitive under small biological replicate conditions, whereas the newly developed method DEF-scRNA-seq which is based on information entropy offers significant advantages. …”

Distinct dendritic properties of cell type specific models. by Daniele Linaro (227790)

Subjects:

Summary of the contrasts obtained from the normalized images for both inclusions as a function of the host type and the wavelength. by María Victoria Waks-Serra (21578611)

System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction by Yisheng Huang (152457)

“…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …”

Fitness function curve at weight factor 0.3. by Dhulfiqar Hakeem Dhayef (17729684)

Subjects:

Performance of various deep learning models from PyNoetic’s classification module on the Motor Imagery decoding task. by Gursimran Singh (575288)

Subjects:

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

“…<b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …”

Width of stripes as a function of time. by Pratik Mullick (12851011)

Subjects:

Changes in the relative abundances of signaling functions across initial GA-LR pairs. by Erick Armingol (5125595)

“…Changes were computed from the fold change (FC) between the relative abundance in each of the 100 runs of the genetic algorithm (GA) with respect to the corresponding relative abundance in the complete list of LR pairs (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010715#pcbi.1010715.s002" target="_blank">S1 Table</a>), and shown as the log10(FC+1) transformation (x-axis). …”

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

Subjects:

Workflow of algorithm for whole brain flow simulation. by Erlend Hodneland (391541)

Post-stroke change in modularity for different clustering algorithms, numbers of clusters and edge density threshold ranges. by Francisco Páscoa dos Santos (16510676)

The largest variations extracted from 23 pixel-value profiles are plotted. by Tsutomu Gomi (7382183)

Subjects: “…Cell Biology…”

Second experiment results of the trained model. by Honglan Huang (341951)

Subjects: “…Cell Biology…”

(a) ROAL Accuracies and (b) ROAL label requests per episode for the 1^st, 2^nd, 5^th, and 10^th instances of all classes. by Honglan Huang (341951)

Subjects: “…Cell Biology…”