"the biology of learning" trang 3 - tải miễn phí từ tailieunhanh
Ebook Biological psychology: Part 2

Ebook Biological psychology: Part 2
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Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB)

Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB)
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RRCRank: A fusion method using rank strategy for residue-residue contact prediction

RRCRank: A fusion method using rank strategy for residue-residue contact prediction
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The parameter sensitivity of random forests

The parameter sensitivity of random forests
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Saving time maintaining reliability: A new method for quantification of Tetranychus urticae damage in Arabidopsis whole rosettes

Saving time maintaining reliability: A new method for quantification of Tetranychus urticae damage in Arabidopsis whole rosettes
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Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB

Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB
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Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data

Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data
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MicroRNA prediction based on 3D graphical representation of RNA secondary structures

MicroRNA prediction based on 3D graphical representation of RNA secondary structures
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Prenatal exposure of diclofenac sodium alters the behavioral development of young Wistar rats

Prenatal exposure of diclofenac sodium alters the behavioral development of young Wistar rats
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SquiggleNet: Real-time, direct classification of nanopore signals

SquiggleNet: Real-time, direct classification of nanopore signals
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A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods

A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods
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Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
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Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data
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Single-cell ATAC-seq signal extraction and enhancement with SCATE

Single-cell ATAC-seq signal extraction and enhancement with SCATE
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MichiGAN: Sampling from disentangled representations of single-cell data using generative adversarial networks

MichiGAN: Sampling from disentangled representations of single-cell data using generative adversarial networks
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NanoCaller for accurate detection of SNPs and indels in difficult-to-map regions from long-read sequencing by haplotype-aware deep neural networks

NanoCaller for accurate detection of SNPs and indels in difficult-to-map regions from long-read sequencing by haplotype-aware deep neural networks
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Promotech: A general tool for bacterial promoter recognition

Promotech: A general tool for bacterial promoter recognition
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Flimma: A federated and privacy-aware tool for differential gene expression analysis

Flimma: A federated and privacy-aware tool for differential gene expression analysis
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SPLINK: A hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies

SPLINK: A hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies
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ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data

ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data
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