Input, output data and Python code for Alternative splicing impacts microRNA regulation within coding regions by Lena Maria Hackl (14332518)

“…<p>This dataset contains the input data and output data and Python code for the publication "Alternative splicing impacts microRNA regulation within coding regions". …”

Python Code Template for Training from Learning nonlinear operators via LSTM neural networks for predicting vessel dynamics in extreme sea states by José del Águila Ferrandis (9672605)

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

Subjects:

IJGIS-2020-0089_dataset&codes by zhewei liu (7519670)

PCA_WNN model by Dongmei Wang (14179892)

“…<p>This is a python code about the neural network model for predicting kinetic data during treadmill running.…”

The maximum deviation of SDR with different <i>c</i>-values predict by ITC measurement model and variance function. by Xiujie Ge (6831833)

One-hot coding map. by Zhengqiao Zhao (6400832)

Python implementation of a wildfire propagation example using m:n-CAk over Z and R. by Pau Fonseca i Casas (9507338)

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. …”

Recombination and mutation estimation times using the fastest (dynamic-numba) likelihood implementation depending on the number of markers. by Serena Aneli (17002149)

Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci. by Bjørn André Bredesen-Aa (13767126)

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Predictive Coding Versus Backpropagation Code by Robert Rosenbaum (4891870)

“…Python code to produce all figures from "On the Relationship Between Predictive Coding and Backpropagation"…”

Code program. by Honglei Pang (22693724)

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

Functions 1.0 by Jonatan Flyckt (8101010)

Functions 2.0 by Jonatan Flyckt (8101010)

Python code to find amino acid positions with matched anchor residue motifs and probable escape variants associated with HLA-Class-I binding. by Nobubelo K. Ngandu (12075108)

Python code to find amino acid positions with matched anchor residue motifs and probable escape variants associated with HLA-Class-II binding. by Nobubelo K. Ngandu (12075108)

Python and sql scripts to disaggregate annual emissions into high time resolution data by Greet J. Maenhout (8121812)

“…The file named 'Python_sql_codes_to_implement_temp_profiles.zip' contains the Python codes and some sql scripts used to apply temporal profiles to disaggregate EDGAR annual emissions into higher time resolution data. …”