Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

Subjects:

The three-step workflow for generating biomass objective functions from experimental data with BOFdat. by Jean-Christophe Lachance (6619307)

Subjects:

BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

Subjects:

Slides: A better strategy for interpolating gravity and magnetic data by Santiago Rubén Soler (6476147)

“…</div><div><br></div><div>The source code developed for this study is based on the EQL implementation available in Harmonica (fatiando.org/harmonica), an open-source Python library for modelling and processing gravity and magnetic data. …”

+5 Million Python & Bash Programming Submissions for 5 Courses & Grades for Computer-Based Exams over 3 academic years. by David Azcona (9085694)

“…In this work we explore different mechanisms to represent students’ code to predict its correctness and to better analyze students’ progress using their interactions which can be exploited to provide effective feedback and support better recommendations. …”

Data_Sheet_1_An Open-Source Tool for Anisotropic Radiation Therapy Planning in Neuro-oncology Using DW-MRI Tractography.pdf by Kesshi Jordan (7329089)

“…We present an open-source WMPL tool, implemented in the package Diffusion Imaging in Python (DIPY), and code to convert the resulting WMPL map to anisotropic contours for RT in a commercial treatment planning system. …”

NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology by Nathan Braniff (14149834)

“…Modeling in systems and synthetic biology relies on accurate parameter estimates and predictions. …”

The use of optimal parameters for HDDRs improves 3D modeling quality. by Giacomo Janson (8138517)

Subjects:

Effects on 3D modeling of optimal <i>σ</i> values and DOPE. by Giacomo Janson (8138517)

Subjects:

Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; symbols = measured maximal effective bandwidth; filled symbols = matrix operations;... by Xuzhen He (14676114)

Subjects:

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Subjects:

GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour by Felix Molter (8130300)

“…Here, we present GLAMbox, a Python-based toolbox that is built upon PyMC3 and allows the easy application of the gaze-weighted linear accumulator model (GLAM) to experimental choice data. …”

Python script implementation of butanol and butanol producer models. by Laura de Arroyo Garcia (9226096)

Appendices (Supplementary material).docx by Seyed Iman Mohammadpour (14783125)

Predictions, observations and residuals of Monod model fitted to backscatter data. by Laura Marie Helleckes (12206910)

Subjects:

Reproducing neural dynamics recorded from larval zebrafish subpallium. by Lu Bin Liu (14279482)

Subjects:

Table_1_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.xlsx by Kirill Batmanov (3722374)

“…BayesPI-BAR2 is a useful tool for predicting functional non-coding mutations in whole genome sequencing data: it allows identification of novel transcription factors (TFs) whose binding is altered by non-coding mutations in cancer. …”

Table_2_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.docx by Kirill Batmanov (3722374)

“…BayesPI-BAR2 is a useful tool for predicting functional non-coding mutations in whole genome sequencing data: it allows identification of novel transcription factors (TFs) whose binding is altered by non-coding mutations in cancer. …”

Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

Subjects:

AiZynthTrain: Robust, Reproducible, and Extensible Pipelines for Training Synthesis Prediction Models by Samuel Genheden (1273512)

“…We introduce the AiZynthTrain Python package for training synthesis models in a robust, reproducible, and extensible way. …”