• Suche: Bioinformatics programming using Python

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41

Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests.
Loyal, Joshua Daniel ; Zhu, Ruoqing ; Cui, Yifan ; et al.
Journal of Computational & Graphical Statistics. Oct-Dec2022, Vol. 31 Issue 4, p1104-1113. 10p.

RANDOM forest algorithms PYTHON programming langu... PARTICULATE matter INDIVIDUALIZED medicine MACHINE learning PHOTOCATHODES …
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42

MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics
Egea, Jose A ; Henriques, David ; Cokelaer, Thomas ; et al.

Mathematics - Optimizati... Computer Science - Compu... Computer Science - Mathe... Quantitative Biology - Q...
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43

OsmoFold: A high-throughput tool for predicting the impact of osmolytes on protein structure
Nicholson, Vincent ; Maharjan, Sujina ; Sukenik, Shahar ; et al.
In Biophysical Journal 4 November 2025 124(21):3555-3570

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44

scValue: value-based subsampling of large-scale single-cell transcriptomic data for machine and deep learning tasks Open Access.
Huang, Li ; Gong, Weikang ; Chen, Dongsheng
Briefings in Bioinformatics. May2025, Vol. 26 Issue 3, p1-15. 15p.

MACHINE learning GINI coefficient PYTHON programming langu... CELL analysis RANDOM forest algorithms DEEP learning
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45

Analyzing the protein-protein interaction network and the topological properties of prostate cancer and allied diseases: A computational bioinformatics approach
Puspo, Nadira Akter ; Akter, Laboni ; Siddique, Sinthia ; et al.
In Gene Reports December 2020 21

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46

PEAKQC: periodicity evaluation in single-cell ATAC-seq data for quality assessment Open Access.
Detleffsen, Jan ; Bruns, Brenton ; Bentsen, Mette ; et al.
Briefings in Bioinformatics. Sep2025, Vol. 26 Issue 5, p1-10. 10p.

QUALITY control DATA quality CELL populations PYTHON programming langu... CHROMATIN CYTOLOGICAL techniques
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47

PaVE 2.0: Behind the Scenes of the Papillomavirus Episteme
Dommer, Jennifer ; Van Doorslaer, Koenraad ; Afrasiabi, Cyrus ; et al.
In Journal of Molecular Biology December 2024

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48

pyHIVE, a health-related image visualization and engineering system using Python.
Zhang R ; Zhao R ; Zhao X ; et al.
Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

Algorithms Endoscopy, Gastrointesti... Humans Principal Component Anal... Programming Languages Image Processing, Comput...
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49

PSTP: accurate residue-level phase separation prediction using protein conformational and language model embeddings Open Access.
Feng, Mofan ; Liu, Liangjie ; Xian, Zhuo-Ning ; et al.
Briefings in Bioinformatics. May2025, Vol. 26 Issue 3, p1-14. 14p.

INTERNET servers LANGUAGE models SYNTHETIC proteins PHASE separation PROTEIN fractionation AMINO acid sequence …
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50

Bambu and its applications in the discovery of active molecules against melanoma
Guidotti, Isadora Leitzke ; Neis, Alessandra ; Martinez, Daniela Peres ; et al.
In Journal of Molecular Graphics and Modelling November 2023 124

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51

NiPTUNE: an automated pipeline for noninvasive prenatal testing in an accurate, integrative and flexible framework.
Duboc, Véronique ; Pratella, David ; Milanesio, Marco ; et al.
Briefings in Bioinformatics. Jan2022, Vol. 23 Issue 1, p1-10. 10p.

PIPELINE inspection DATA analysis QUALITY control PRENATAL diagnosis CELL-free DNA PYTHON programming langu... …
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52

Computing Languages for Bioinformatics: Python
Guzzi, Pietro H. ; Cinaglia, Pietro ; Milano, Marianna
In Reference Module in Life Sciences 2017

Buch
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53

MDBuilder: a PyMOL plugin for the preparation of molecular dynamics simulations.
Liu, Hui ; Jin, Ye ; Ding, Hanjing
Briefings in Bioinformatics. Mar2023, Vol. 24 Issue 2, p1-7. 7p.

USER interfaces MOLECULAR dynamics SOURCE code PYTHON programming langu... USER experience
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54

Artificial Intelligence in Plasma Cell Myeloma: Neural Networks and Support Vector Machines in the Classification of Plasma Cell Myeloma Data at Diagnosis
Yenamandra, Ashwini K. ; Hughes, Caitlin ; Maris, Alexander S.
In Journal of Pathology Informatics January-December 2021 12(1)

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55

m6ATM: a deep learning framework for demystifying the m6A epitranscriptome with Nanopore long-read RNA-seq data.
Yu, Boyi ; Nagae, Genta ; Midorikawa, Yutaka ; et al.
Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-13. 13p.

ARTIFICIAL neural networ... ALTERNATIVE RNA splicing RNA modification & restr... RNA sequencing LIVER cells PYTHON programming langu... …
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57

scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Open Access.
Jogani, Saiyam ; Pol, Anand Santosh ; Prajapati, Mayur ; et al.
Briefings in Bioinformatics. May2025, Vol. 26 Issue 3, p1-12. 12p.

ARTIFICIAL neural networ... ELECTRONIC data processi... CENTRAL processing units FEATURE extraction RNA PYTHON programming langu... …
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58

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education.
Osório, Nuno S. ; Garma, Leonardo D.
FEBS Open Bio. Dec2025, Vol. 15 Issue 12, p2054-2066. 13p.

Bioinformatics Python programming langu... Student engagement Computer programming edu... Notebooks Life sciences …
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59

GITAR: An Open Source Tool for Analysis and Visualization of Hi-C Data
Calandrelli, Riccardo ; Wu, Qiuyang ; Guan, Jihong ; et al.
In Genomics, Proteomics & Bioinformatics October 2018 16(5):365-372

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60

Dense optical flow software to quantify cellular contractility
Scalzo, Sérgio ; Afonso, Marcelo Q.L. ; da Fonseca, Néli J., Jr. ; et al.
In Cell Reports Methods 23 August 2021 1(4)

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