نتائج البحث

A comparison of rule-based and centroid single-sample multiclass predictors for transcriptomic classification

• Authors : Eriksson, Pontus; Marzouka, Nour-Al-Dain; Sjödahl, Gottfrid

Subjects: Medicin och hälsovetenskap; Klinisk medicin; Cancer och onkologi

• Source: Bioinformatics. 38(4):1022-1029

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HyperTMO: a trusted multi-omics integration framework based on hypergraph convolutional network for patient classification.

• Authors : Wang, Haohua¹ (AUTHOR); Lin, Kai¹ (AUTHOR) ; Zhang, Qiang¹ (AUTHOR)

Subjects: *MULTIOMICS; *TRUST; *ALZHEIMER'S disease

• Source: Bioinformatics. Apr2024, Vol. 40 Issue 4, p1-9. 9p.

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AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification.

• Authors : Kim, Jung¹ (AUTHOR); Naqvi, Ammar S^2,3 (AUTHOR); Corbett, Ryan J^2,3 (AUTHOR)

Subjects: *GERM cells; *WHOLE genome sequencing; *MEDICAL genetics

• Source: Bioinformatics. Mar2024, Vol. 40 Issue 3, p1-4. 4p.

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CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data.

• Authors : Wang, Xiao¹ (AUTHOR); Chai, Ziyi¹ (AUTHOR); Li, Shaohua¹ (AUTHOR)

Subjects: *RNA sequencing; *SOURCE code; *LEARNING strategies

• Source: Bioinformatics. Feb2024, Vol. 40 Issue 2, p1-10. 10p.

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Deep centroid: a general deep cascade classifier for biomedical omics data classification.

• Authors : Xie, Kuan¹ (AUTHOR); Hou, Yuying¹ (AUTHOR); Zhou, Xionghui^1,2 (AUTHOR)

Subjects: *DEEP learning; *MACHINE learning; *CENTROID

• Source: Bioinformatics. Feb2024, Vol. 40 Issue 2, p1-9. 9p.

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MK-BMC: a Multi-Kernel framework with Boosted distance metrics for Microbiome data for Classification.

• Authors : Xu, Huang¹ (AUTHOR); Wang, Tian² (AUTHOR); Miao, Yuqi² (AUTHOR)

Subjects: *INFLAMMATORY bowel diseases; *HUMAN microbiota; *PREDICTION models

• Source: Bioinformatics. Jan2024, Vol. 40 Issue 1, p1-10. 10p.

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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

• Authors : Pfeifer, Bastian¹ (AUTHOR) ; Chereda, Hryhorii² (AUTHOR); Martin, Roman³ (AUTHOR)

Subjects: *MACHINE learning; *MULTIPLE scattering (Physics); *PROTEIN-protein interactions

• Source: Bioinformatics. Nov2023, Vol. 39 Issue 11, p1-4. 4p.

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PiDeeL: metabolic pathway-informed deep learning model for survival analysis and pathological classification of gliomas.

• Authors : Kaynar, Gun¹ (AUTHOR); Cakmakci, Doruk² (AUTHOR); Bund, Caroline^3,4,5 (AUTHOR)

Subjects: *SURVIVAL analysis (Biometry); *DEEP learning; *GLIOMAS

• Source: Bioinformatics. Nov2023, Vol. 39 Issue 11, p1-10. 10p.

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RecoverY: k-mer-based read classification for Y-chromosome-specific sequencing and assembly.

• Authors : Rangavittal, Samarth; Harris, Robert; Cechova, Monika

Subjects: Algorithms; Animals; Chromosomes

• Source: Bioinformatics. 34(7)

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ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq.

• Authors : Xiong, Guangzhi¹ (AUTHOR) ; Bekiranov, Stefan² (AUTHOR); Zhang, Aidong¹ (AUTHOR)

Subjects: *DEEP learning; *BIOLOGICAL classification; *GENE expression profiling

• Source: Bioinformatics. Aug2023, Vol. 39 Issue 8, p1-11. 11p.

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Higher classification sensitivity of short metagenomic reads with CLARK-S.

• Authors : Ounit, Rachid; Lonardi, Stefano

Subjects: Networking and Information Technology R&D (NITRD); Algorithms; Ecosystem

• Source: Bioinformatics. 32(24)

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Coriolis: enabling metagenomic classification on lightweight mobile devices.

• Authors : Mikalsen, Andrew J¹ (AUTHOR); Zola, Jaroslaw¹ (AUTHOR)

Subjects: *METAGENOMICS; *RAPID prototyping; *CLASSIFICATION algorithms

• Source: Bioinformatics. 2023 Supplement, Vol. 39, pi66-i75. 10p.

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PhaVIP: Phage VIrion Protein classification based on chaos game representation and Vision Transformer.

• Authors : Shang, Jiayu¹ (AUTHOR); Peng, Cheng¹ (AUTHOR); Tang, Xubo¹ (AUTHOR)

Subjects: *WEB servers; *IMAGE recognition (Computer vision); *VIRION

• Source: Bioinformatics. 2023 Supplement, Vol. 39, pi30-i39. 10p.

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CW-NET for multitype cell detection and classification in bone marrow examination and mitotic figure examination.

• Authors : Wang, Ching-Wei^1,2 (AUTHOR) ; Huang, Sheng-Chuan^3,4,5 (AUTHOR); Khalil, Muhammad-Adil² (AUTHOR)

Subjects: *CANCER diagnosis; *BONE marrow; *SUPERVISED learning

• Source: Bioinformatics. Jun2023, Vol. 39 Issue 6, p1-8. 8p.

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Phylogeny-based classification of microbial communities

• Authors : Tanaseichuk, Olga; Borneman, James; Jiang, Tao

Subjects: Genetics; Networking and Information Technology R&D (NITRD); Algorithms

• Source: Bioinformatics. 30(4)

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vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines.

• Authors : Munté, Elisabet¹ (AUTHOR); Feliubadaló, Lidia^1,2 (AUTHOR) ; Pineda, Marta^1,2 (AUTHOR)

Subjects: *CANCER genes; *TUMOR classification; *MOLECULAR genetics

• Source: Bioinformatics. Mar2023, Vol. 39 Issue 3, p1-9. 9p.

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Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification.

• Authors : Wang, Zhikang¹ (AUTHOR); Bi, Yue¹ (AUTHOR); Pan, Tong¹ (AUTHOR)

Subjects: *IMAGE recognition (Computer vision); *DISTRIBUTION (Probability theory); *HETEROGENEITY

• Source: Bioinformatics. Mar2023, Vol. 39 Issue 3, p1-7. 7p.

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Adversarial dense graph convolutional networks for single-cell classification.

• Authors : Wang, Kangwei¹ (AUTHOR); Li, Zhengwei¹ (AUTHOR) ; You, Zhu-Hong² (AUTHOR)

Subjects: *DENSE graphs; *WEB servers; *GENE regulatory networks

• Source: Bioinformatics. Feb2023, Vol. 39 Issue 2, p1-7. 7p.

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SATINN: an automated neural network-based classification of testicular sections allows for high-throughput histopathology of mouse mutants

• Authors : Ran Yang; Alexandra Stendahl; Katinka A. Vigh-Conrad

Subjects: Male; Proteomics; Mammals

• Source: Bioinformatics. 38:5288-5298

تفاصيل العنوان

3CAC: improving the classification of phages and plasmids in metagenomic assemblies using assembly graphs

• Authors : Ron Shamir; Lianrong Pu

Subjects: Statistics and Probability; Contig; Circular bacterial chromosome

• Source: Bioinformatics. 38:ii56-ii61

تفاصيل العنوان

SATINN: an automated neural network-based classification of testicular sections allows for high-throughput histopathology of mouse mutants.

• Authors : Yang, Ran¹ (AUTHOR) ; Stendahl, Alexandra M¹ (AUTHOR); Vigh-Conrad, Katinka A¹ (AUTHOR)

Subjects: *GENE regulatory networks; *CONVOLUTIONAL neural networks; *SEMINIFEROUS tubules

• Source: Bioinformatics. Dec2022, Vol. 38 Issue 23, p5288-5298. 11p.

تفاصيل العنوان

AutoDC: an automatic machine learning framework for disease classification

• Authors : Yang Bai; Yang Li; Yu Shen

Subjects: Machine Learning; Data Analysis; Statistics and Probability

• Source: Bioinformatics. 38:3415-3421

تفاصيل العنوان

Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification

• Authors : Zhikang Wang; Yue Bi; Tong Pan

Subjects: Statistics and Probability; Computational Mathematics; Computational Theory and Mathematics

• Source: Bioinformatics. 39

تفاصيل العنوان

vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines

• Authors : Elisabet Munté; Lidia Feliubadaló; Marta Pineda

Subjects: Statistics and Probability; Computational Mathematics; Computational Theory and Mathematics

• Source: Bioinformatics. 39

تفاصيل العنوان

Adversarial dense graph convolutional networks for single-cell classification

• Authors : Kangwei Wang; Zhengwei Li; Zhu-Hong You

Subjects: Statistics and Probability; Computational Mathematics; Computational Theory and Mathematics

• Source: Bioinformatics. 39

تفاصيل العنوان

3CAC: improving the classification of phages and plasmids in metagenomic assemblies using assembly graphs.

• Authors : Pu, Lianrong¹ (AUTHOR); Shamir, Ron¹ (AUTHOR)

Subjects: *PLASMIDS; *METAGENOMICS; *BACTERIAL chromosomes

• Source: Bioinformatics. 2022 Supplement, Vol. 38, pii56-ii61. 6p.

تفاصيل العنوان

AutoDC: an automatic machine learning framework for disease classification.

• Authors : Bai, Yang¹ (AUTHOR); Li, Yang¹ (AUTHOR); Shen, Yu¹ (AUTHOR)

Subjects: *MACHINE learning; *NOSOLOGY; *GENE expression

• Source: Bioinformatics. Jul2022, Vol. 38 Issue 13, p3415-3421. 7p.

تفاصيل العنوان

Multi-Class Cancer Classification via Partial Least Squares with Gene Expression Profiles

• Authors : Nguyen, Danh; Rocke, David

• Source: Bioinformatics. 18

تفاصيل العنوان

Tumor Classification by Partial Least Squares using Microarray Gene Expression Data

• Authors : Nguyen, Danh; Rocke, David

• Source: Bioinformatics. 18

تفاصيل العنوان

Manifold classification of neuron types from microscopic images

• Authors : Lijuan Liu; Penghao Qian

Subjects: Neurons; Statistics and Probability; Mice

• Source: Bioinformatics. 38:4987-4989

تفاصيل العنوان

MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification

• Authors : Sehwan Moon; Hyunju Lee

Subjects: Statistics and Probability; Computational Mathematics; Computational Theory and Mathematics

• Source: Bioinformatics

تفاصيل العنوان

MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification.

• Authors : Moon, Sehwan¹ (AUTHOR); Lee, Hyunju¹ (AUTHOR)

Subjects: *MACHINE learning; *CLASSIFICATION algorithms; *WEB serversMUSEUM of Modern Art (New York, N.Y.)

• Source: Bioinformatics. 4/15/2022, Vol. 38 Issue 8, p2287-2296. 10p.

تفاصيل العنوان

massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation.

• Authors : Abdelmoula, Walid M^1,2 (AUTHOR); Stopka, Sylwia A^1,3 (AUTHOR); Randall, Elizabeth C³ (AUTHOR)

Subjects: *DEEP learning; *MASS spectrometry; *BIOLOGICAL classification

• Source: Bioinformatics. 4/1/2022, Vol. 38 Issue 7, p2015-2021. 7p.

تفاصيل العنوان

A comparison of rule-based and centroid single-sample multiclass predictors for transcriptomic classification

• Authors : Mattias Höglund; Fredrik Liedberg; Nour-Al-Dain Marzouka

Subjects: Statistics and Probability; Normalization (statistics); AcademicSubjects/SCI01060

• Source: Bioinformatics

تفاصيل العنوان

Boosting for tumor classification with gene expression data

Subjects: IDP; 572: Biochemie; Beitrag in wissenschaftlicher Zeitschrift

تفاصيل العنوان

BagBoosting for tumor classification with gene expression data

Subjects: IDP; 572: Biochemie; Beitrag in wissenschaftlicher Zeitschrift

تفاصيل العنوان

Boosting for tumor classification with gene expression data

Subjects: IDP; 572: Biochemie; Beitrag in wissenschaftlicher Zeitschrift

تفاصيل العنوان

BagBoosting for tumor classification with gene expression data

Subjects: IDP; 572: Biochemie; Beitrag in wissenschaftlicher Zeitschrift

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Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics

• Authors : Soonwoo Hong; Hsin-Chih Yeh; Thomas E. Yankeelov

Subjects: Statistics and Probability; Receptor Status; AcademicSubjects/SCI01060

• Source: Bioinformatics

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HieRFIT: a hierarchical cell type classification tool for projections from complex single-cell atlas datasets

• Authors : Florian Ganglberger; Yasin Kaymaz; Ming Tang

Subjects: Statistics and Probability; 0303 health sciences; Information transfer

• Source: Bioinformatics. 37:4431-4436

تفاصيل العنوان

Utilizing image and caption information for biomedical document classification

• Authors : Xiangying Jiang; Daniela Raciti; Hagit Shatkay

Subjects: Statistics and Probability; Scheme (programming language); Source code

• Source: Bioinformatics. 37:i468-i476

تفاصيل العنوان

Bacteriophage classification for assembled contigs using graph convolutional network

• Authors : Yanni Sun; Jiayu Shang; Jingzhe Jiang

Subjects: FOS: Computer and information sciences; Statistics and Probability; Computer Science - Machine Learning

• Source: Bioinformatics

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CACONET: a novel classification framework for microbial correlation networks.

• Authors : Xu, Yuanwei^1,2,3,4 (AUTHOR) ; Nash, Katrina¹ (AUTHOR); Acharjee, Animesh^1,2,3,4 (AUTHOR)

Subjects: *DEEP learning; *GUT microbiome; *KEY performance indicators (Management)

• Source: Bioinformatics. 3/15/2022, Vol. 38 Issue 6, p1639-1647. 9p.

تفاصيل العنوان

scPretrain: multi-task self-supervised learning for cell-type classification.

• Authors : Zhang, Ruiyi¹ (AUTHOR); Luo, Yunan² (AUTHOR); Ma, Jianzhu^3,4 (AUTHOR)

Subjects: *SUPERVISED learning; *FEATURE extraction; *RANDOM forest algorithms

• Source: Bioinformatics. 3/15/2022, Vol. 38 Issue 6, p1607-1614. 8p.

تفاصيل العنوان

Automated classification of cytogenetic abnormalities in hematolymphoid neoplasms.

• Authors : Cox, Andrew¹ (AUTHOR); Park, Chanhee¹ (AUTHOR); Koduru, Prasad² (AUTHOR)

Subjects: *CONVOLUTIONAL neural networks; *CYTOGENETICS; *HUMAN abnormalities

• Source: Bioinformatics. 3/1/2022, Vol. 38 Issue 5, p1420-1426. 7p.

تفاصيل العنوان

comparison of rule-based and centroid single-sample multiclass predictors for transcriptomic classification.

• Authors : Eriksson, Pontus¹ (AUTHOR) ; Marzouka, Nour-al-dain¹ (AUTHOR); Sjödahl, Gottfrid² (AUTHOR)

Subjects: *CENTROID; *RANDOM forest algorithms; *TRANSCRIPTOMES

• Source: Bioinformatics. 2/15/2022, Vol. 38 Issue 4, p1022-1029. 8p.

تفاصيل العنوان

Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings.

• Authors : Amgad, Mohamed¹ (AUTHOR); Atteya, Lamees A² (AUTHOR); Hussein, Hagar³ (AUTHOR)

Subjects: *DECISION trees; *COMPUTER-aided diagnosis; *DEEP learning

• Source: Bioinformatics. 1/15/2022, Vol. 38 Issue 2, p513-519. 7p.

تفاصيل العنوان

Tiara: deep learning-based classification system for eukaryotic sequences.

• Authors : Karlicki, Michał¹ (AUTHOR); Antonowicz, Stanisław¹ (AUTHOR); Karnkowska, Anna¹ (AUTHOR)

Subjects: *METAGENOMICS; *DEEP learning; *OCEAN zoning

• Source: Bioinformatics. 1/15/2022, Vol. 38 Issue 2, p344-350. 7p.

تفاصيل العنوان

Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics.

• Authors : Kim, Mirae¹ (AUTHOR); Hong, Soonwoo² (AUTHOR); Yankeelov, Thomas E^2,3,4,5,6 (AUTHOR)

Subjects: *HORMONE receptors; *CANCER cells; *EPIDERMAL growth factor receptors

• Source: Bioinformatics. 1/1/2022, Vol. 38 Issue 1, p243-249. 7p.

تفاصيل العنوان

Manifold classification of neuron types from microscopic images.

• Authors : Liu, Lijuan^1,2 (AUTHOR) ; Qian, Penghao^2,3 (AUTHOR)

Subjects: *NEURONS; *CELL analysis; *THREE-dimensional imaging

• Source: Bioinformatics. Nov2022, Vol. 38 Issue 21, p4987-4989. 3p.

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