Overview of the algorithmic approach and its place in the hypothesis generation toolkit. by Braden T. Tierney (8822813)

Assessment of vaccine-generated immune response via C-ImmSim. by Saurav Kumar Mishra (13228369)

Integrated epigenomic exposure signature discovery by Jared Schuetter (19531604)

“…</p> <p><b>Materials & methods:</b> Here we developed and implemented a machine learning algorithm, the exposure signature discovery algorithm (ESDA), to identify the most important features present in multiple epigenomic and transcriptomic datasets to produce an integrated exposure signature (ES).…”

Study workflow diagram. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

Stunting final dataset. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

A mean SHAP value report. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

A waterfall plot analysis. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

MF-MSCNN: Multi-Feature based Multi-Scale Convolutional Neural Network for Image Dehazing via Input Transformation by Balla Pavan Kumar (22173860)

Overview of the computational pipeline. by Gal Gilad (11581667)

A Machine Learning Approach for Predicting Plant Uptake and Translocation of Per- and Polyfluoroalkyl Substances (PFAS) from Hydroponics by Olatunbosun Adu (18762619)

“…Unsupervised principal component analysis (PCA) was first used to classify the input data, and then supervised ML models, including multiple linear regression model (MLR), artificial neural network (ANN), random forest (RF), and support vector machine (SVM) algorithms, were applied for predicting the chosen output parameters. …”

Variation of mean level of vitamin D. by Mrinal Saha (11580507)

“…<div><p>Vitamin D insufficiency appears to be prevalent in SLE patients. Multiple factors potentially contribute to lower vitamin D levels, including limited sun exposure, the use of sunscreen, darker skin complexion, aging, obesity, specific medical conditions, and certain medications. …”

Region map of Chattogram. by Mrinal Saha (11580507)

“…<div><p>Vitamin D insufficiency appears to be prevalent in SLE patients. Multiple factors potentially contribute to lower vitamin D levels, including limited sun exposure, the use of sunscreen, darker skin complexion, aging, obesity, specific medical conditions, and certain medications. …”

Descriptive statistics. by Mrinal Saha (11580507)

“…<div><p>Vitamin D insufficiency appears to be prevalent in SLE patients. Multiple factors potentially contribute to lower vitamin D levels, including limited sun exposure, the use of sunscreen, darker skin complexion, aging, obesity, specific medical conditions, and certain medications. …”

Strengths and weaknesses of different methods. by Mrinal Saha (11580507)

“…<div><p>Vitamin D insufficiency appears to be prevalent in SLE patients. Multiple factors potentially contribute to lower vitamin D levels, including limited sun exposure, the use of sunscreen, darker skin complexion, aging, obesity, specific medical conditions, and certain medications. …”

Performance of ML models on test data. by Mrinal Saha (11580507)

“…<div><p>Vitamin D insufficiency appears to be prevalent in SLE patients. Multiple factors potentially contribute to lower vitamin D levels, including limited sun exposure, the use of sunscreen, darker skin complexion, aging, obesity, specific medical conditions, and certain medications. …”

Spearman’s correlation map between the variables. by Mrinal Saha (11580507)

“…<div><p>Vitamin D insufficiency appears to be prevalent in SLE patients. Multiple factors potentially contribute to lower vitamin D levels, including limited sun exposure, the use of sunscreen, darker skin complexion, aging, obesity, specific medical conditions, and certain medications. …”

An Automated Platform for Analysis of Phosphoproteomic Datasets:  Application to Kidney Collecting Duct Phosphoproteins by Jason D. Hoffert (502031)

“…In addition, the output files generated by this program are compatible with downstream phosphorylation site assignment using the Ascore algorithm, as well as phosphopeptide quantification via QUOIL. …”

An Automated Platform for Analysis of Phosphoproteomic Datasets:  Application to Kidney Collecting Duct Phosphoproteins by Jason D. Hoffert (502031)

“…In addition, the output files generated by this program are compatible with downstream phosphorylation site assignment using the Ascore algorithm, as well as phosphopeptide quantification via QUOIL. …”

An Automated Platform for Analysis of Phosphoproteomic Datasets:  Application to Kidney Collecting Duct Phosphoproteins by Jason D. Hoffert (502031)

“…In addition, the output files generated by this program are compatible with downstream phosphorylation site assignment using the Ascore algorithm, as well as phosphopeptide quantification via QUOIL. …”

An Automated Platform for Analysis of Phosphoproteomic Datasets:  Application to Kidney Collecting Duct Phosphoproteins by Jason D. Hoffert (502031)

“…In addition, the output files generated by this program are compatible with downstream phosphorylation site assignment using the Ascore algorithm, as well as phosphopeptide quantification via QUOIL. …”