Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

RRMSE and SSIM values of reconstructed images by the proposed algorithms and the compared methods for the third study case. by Mona Selim (12969227)

Subjects: “…Cell Biology…”

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

Subjects:

RRMSE and SSIM values of reconstructed images by the proposed algorithms and the compared methods for the first and second study cases and the noisy data. by Mona Selim (12969227)

Subjects: “…Cell Biology…”

The details of the Scelestial algorithm. by Mohammad-Hadi Foroughmand-Araabi (6658772)

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Reconstructed images using <i>ℓ</i>₂ and <i>ℓ</i>₂-smth algorithms for the first study case. by Mona Selim (12969227)

Subjects: “…Cell Biology…”

Wavelet transform and scaling function. by Menaa Nawaz (14304920)

Boxplot of PLNMFG and other eight state-of-the-art algorithms measured by (a) ACC and (b) AMI on six real datasets. by Hui Yuan (402180)

Predictive performance evaluation on real heart data with selected cell types. by Nuray Sogunmez Erdogan (21533872)

Subjects:

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. by Tianbao Feng (21722233)

Function of MRI different sequence imaging. by Han Xue (803892)

Highly interrelated genes and their biological functions among 21 cancers. by Qunlun Shen (11668968)

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

Biological functions and network analysis of highly interrelated genes selected by ADC across modalities. by Qunlun Shen (11668968)

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

Subjects:

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”