ClaritySpectra: Raman spectra analysis tool حسب Aaron Celestian (9395696)

"…</h2><p dir="ltr">Get the latest updates at <a href="https://github.com/aaroncelestian/ClaritySpectra" rel="noreferrer" target="_blank">https://github.com/aaroncelestian/ClaritySpectra </a></p><h3>SEARH-MATCH</h3><ul><li>Robust Search-Match of minerals/plastics, and it has lots of optional filters.</li><li>Four algorithms to choose from: Correlation, Peaks only, Correlation+Peaks, and Machine Learning dynamic time warping for those spectra that don't want to cooperate</li><li>A nice spectral comparison window with database search/add features to overlay spectra</li><li>Difference curve so you can see what fits and what doesn’t</li><li>And a new <b>experimental</b> feature: Predictive chemistry heatmaps based on spectral correlations.…"

Deactivated Cas9-Engineered Magnetic Micromotors toward a Point-of-Care Digital Viral RNA Assay حسب Younseong Song (9967421)

"…A convolutional neural network classification-based multiobject tracking algorithm, CNN-MOT, accurately measures the change in micromotor motion, facilitating the binary digital assay format (“1” or “0”) for simplified result interpretation without user bias. …"

Deactivated Cas9-Engineered Magnetic Micromotors toward a Point-of-Care Digital Viral RNA Assay حسب Younseong Song (9967421)

"…A convolutional neural network classification-based multiobject tracking algorithm, CNN-MOT, accurately measures the change in micromotor motion, facilitating the binary digital assay format (“1” or “0”) for simplified result interpretation without user bias. …"

Deactivated Cas9-Engineered Magnetic Micromotors toward a Point-of-Care Digital Viral RNA Assay حسب Younseong Song (9967421)

"…A convolutional neural network classification-based multiobject tracking algorithm, CNN-MOT, accurately measures the change in micromotor motion, facilitating the binary digital assay format (“1” or “0”) for simplified result interpretation without user bias. …"

RNACOREX package workflow. حسب Aitor Oviedo-Madrid (22553399)

"…The results show that RNACOREX achieves competitive predictive performance compared to widely used classification algorithms, while offering the added benefit of interpretability through its graph-based modeling framework.…"

Performance. حسب Aitor Oviedo-Madrid (22553399)

"…The results show that RNACOREX achieves competitive predictive performance compared to widely used classification algorithms, while offering the added benefit of interpretability through its graph-based modeling framework.…"

Data sharing حسب Zihan Jin (20638007)

"…Instead of micropumps, miniaturized exciters were employed as SMET drivers to generate multiple excitation waveforms, producing various signal types to improve specific algorithmic accuracy. The SMET achieved over 93% classification accuracy for five taste element samples (glacial acetic acid, anhydrous dextrose, quinine, edible chili essence, sodium chloride) and five concentrations of sodium chloride solutions using a single waveform signal, reaching 100% accuracy with the fusion of multiple waveform signals. …"

archive.zip حسب Tasneem Fatima (21976946)

"…<p dir="ltr">This research appears to focus on the <b>classification of wheat grain quality using image-based analysis</b>, likely employing <b>Convolutional Neural Networks (CNNs)</b> for automated grading. …"

Table 1_The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia.xlsx حسب Zhixiang Chen (23839)

"…</p>Methods<p>Immune score for the Cancer Genome Atlas acute myeloid leukemia (AML) patients were calculated using the ESTIMATE algorithm, followed by identification of immune score-associated differentially expressed genes Non-negative matrix factorization (NMF) clustering was performed to stratify AML subtypes based on immune microenvironment (immune microenvironment)-related DEGs and 29 m7G regulatory genes. …"

Image 3_The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia.tif حسب Zhixiang Chen (23839)

"…</p>Methods<p>Immune score for the Cancer Genome Atlas acute myeloid leukemia (AML) patients were calculated using the ESTIMATE algorithm, followed by identification of immune score-associated differentially expressed genes Non-negative matrix factorization (NMF) clustering was performed to stratify AML subtypes based on immune microenvironment (immune microenvironment)-related DEGs and 29 m7G regulatory genes. …"

Image 2_The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia.tif حسب Zhixiang Chen (23839)

"…</p>Methods<p>Immune score for the Cancer Genome Atlas acute myeloid leukemia (AML) patients were calculated using the ESTIMATE algorithm, followed by identification of immune score-associated differentially expressed genes Non-negative matrix factorization (NMF) clustering was performed to stratify AML subtypes based on immune microenvironment (immune microenvironment)-related DEGs and 29 m7G regulatory genes. …"

Image 1_The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia.tif حسب Zhixiang Chen (23839)

"…</p>Methods<p>Immune score for the Cancer Genome Atlas acute myeloid leukemia (AML) patients were calculated using the ESTIMATE algorithm, followed by identification of immune score-associated differentially expressed genes Non-negative matrix factorization (NMF) clustering was performed to stratify AML subtypes based on immune microenvironment (immune microenvironment)-related DEGs and 29 m7G regulatory genes. …"

Parameter estimates of mixed generalized Gaussian distribution for modelling the increments of electroencephalogram data حسب Zoe Salinger (19090613)

"…</p><p>The parameters of this distribution were estimated using the expectation-maximization algorithm, where the added shape parameter is estimated using the higher order statistics approach based on an analytical relationship between the shape parameter and kurtosis.…"

Efficient Deep Learning Methods for Medical Image Analysis حسب Yaopeng Peng (19778394)

"…This dissertation presents six methods designed to improve segmentation and classification performance across both medical and natural scene domains. …"

Screening of high-efficiency chloroplast-targeting peptides. حسب Chonprakun Thagun (12120578)

"…The 89 cTP-GFPs were categorized into 4 groups based on relative fluorescence intensities in plant cells (Total GFP) vs. inside the chloroplast (Chloroplast GFP) using the <i>K</i>-means clustering algorithm. …"

Image 1_Deep learning and multi-omics reveal programmed cell death-associated diagnostic signatures and prognostic biomarkers in gastric cancer.pdf حسب Qiaoying Jin (21489770)

"…A scoring-based clustering framework integrating multiple machine learning algorithms was developed to define high-resolution molecular subtypes and construct a deep learning signature. …"

Table 1_Deep learning and multi-omics reveal programmed cell death-associated diagnostic signatures and prognostic biomarkers in gastric cancer.xlsx حسب Qiaoying Jin (21489770)

"…A scoring-based clustering framework integrating multiple machine learning algorithms was developed to define high-resolution molecular subtypes and construct a deep learning signature. …"

Data Sheet 1_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.pdf حسب Tim Unger (20457145)

"…In contrast, intraperson classification achieved high accuracy, typically exceeding 90%. …"

Image 5_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg حسب Tim Unger (20457145)

"…In contrast, intraperson classification achieved high accuracy, typically exceeding 90%. …"

Image 4_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg حسب Tim Unger (20457145)

"…In contrast, intraperson classification achieved high accuracy, typically exceeding 90%. …"