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210512 ||| eng |
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|a 9783039211968
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|a 9783039211951
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|a books978-3-03921-196-8
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| 100 |
1 |
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|a Zeng, Xiangxiang
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| 245 |
0 |
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|a Molecular Computing and Bioinformatics
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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| 300 |
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|a 1 electronic resource (390 p.)
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| 653 |
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|a molecular computing
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|a machine learning
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|a DNA coding
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|a molecular learning
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| 653 |
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|a K2
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|a sequence information
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|a biomedical text mining
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| 653 |
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|a join graph
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|a RAST server
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| 653 |
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|a Tianhe-2
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|a protein
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|a lignification
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|a in silico
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|a protein-protein interaction (PPI)
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| 653 |
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|a Brassica napus
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|a big data
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| 653 |
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|a bioinformatics
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| 653 |
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|a iron-depleted
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| 653 |
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|a domain label
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| 653 |
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|a self-organizing systems
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|a distribution
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| 653 |
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|a osteogenesis
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| 653 |
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|a drug-target interaction prediction
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| 653 |
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|a NanoString Technologies
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| 653 |
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|a Mycoplasma hominis
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| 653 |
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|a gene susceptibility prioritization
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| 653 |
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|a image encryption
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| 653 |
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|a absorption
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| 653 |
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|a drug
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| 653 |
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|a DNA computing
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| 653 |
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|a line graph
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| 653 |
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|a prostate cancer
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| 653 |
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|a causal direction learning
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| 653 |
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|a diabetes mellitus
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| 653 |
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|a RNA secondary structure
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| 653 |
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|a clustering
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| 653 |
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|a bio-inspired
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| 653 |
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|a protein transduction domain
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| 653 |
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|a recursively enumerable function
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| 653 |
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|a support vector machine
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| 653 |
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|a hierarchical support vector regression
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| 653 |
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|a Panax ginseng
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| 653 |
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|a gene coding protein
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| 653 |
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|a identification of Chinese herbal medicines
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| 653 |
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|a metabolism
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| 653 |
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|a enzymatic numerical P system
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| 653 |
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|a gene fusion data
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| 653 |
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|a edge detection
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| 653 |
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|a microRNA
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| 653 |
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|a similarity network
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| 653 |
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|a bacterial computing
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| 653 |
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|a function prediction
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| 653 |
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|a phylogeny
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| 653 |
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|a Turing universality
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| 653 |
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|a low-dimensional representation
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| 653 |
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|a Stenotrophomonas maltophilia
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| 653 |
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|a excretion
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| 653 |
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|a gene networks
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| 653 |
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|a toxicity
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| 653 |
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|a multiple interaction networks
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| 653 |
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|a hypoxia-inducible factor-1?
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| 653 |
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|a endoplasmic reticulum
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| 653 |
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|a systems biology
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| 653 |
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|a angiogenesis
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| 653 |
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|a siderophores
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| 653 |
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|a bone formation
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| 653 |
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|a transcription factor
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| 653 |
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|a Bayesian causal model
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| 653 |
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|a iron acquisition systems
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| 653 |
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|a atom-bond connectivity index
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| 653 |
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|a protein complex
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| 653 |
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|a biochip technology
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| 653 |
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|a chaotic map
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| 653 |
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|a DNA
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| 653 |
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|a Hamming distance
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| 653 |
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|a stacking denoising auto-encoder
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| 653 |
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|a DNA barcoding technology
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| 653 |
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|a oligopeptide transporter
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| 653 |
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|a parallel computing
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| 653 |
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|a evaluating driver partner
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| 653 |
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|a penalized matrix decomposition
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| 653 |
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|a nucleotide physicochemical property
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| 653 |
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|a load balancing
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| 653 |
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|a stress
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| 653 |
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|a resolution free
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| 653 |
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|a Biotechnology / bicssc
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| 653 |
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|a 8-bit adder/subtractor
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| 653 |
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|a pattern classification
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| 653 |
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|a pseudo dinucleotide composition
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| 653 |
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|a adverse drug reaction prediction
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| 653 |
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|a multinetwork integration
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| 653 |
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|a amino acid mutation
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| 653 |
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|a heterogeneous information network embedding
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| 653 |
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|a geometric arithmetic index
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| 653 |
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|a DNA strand displacement
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| 653 |
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|a miRNA biogenesis
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| 653 |
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|a brain storm optimization
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| 653 |
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|a meta-path-based proximity
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| 653 |
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|a efflux ratio
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| 653 |
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|a membrane computing
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| 653 |
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|a drug discovery
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| 653 |
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|a environmental factor
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| 653 |
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|a classification
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| 653 |
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|a structural patterns
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| 653 |
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|a DCL1
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| 653 |
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|a interspecies transmission
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| 653 |
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|a Alzheimer's disease
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| 653 |
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|a P-glycoprotein
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| 653 |
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|a RNA
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| 653 |
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|a protein targeting
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| 653 |
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|a cascade
|
| 653 |
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|a ensemble classifier
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| 653 |
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|a laccase
|
| 653 |
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|a dihydrouridine
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| 653 |
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|a Cartesian product graph
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| 653 |
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|a flowering plant
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| 653 |
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|a structure information
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| 653 |
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|a avian influenza virus
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| 653 |
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|a bacteria and plasmid system
|
| 700 |
1 |
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|a Rodríguez-Patón, Alfonso
|
| 700 |
1 |
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|a Zou, Quan
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-03921-196-8
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/53829
|z DOAB: description of the publication
|
| 856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/1409
|7 0
|x Verlag
|3 Volltext
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|a 363
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|a This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.
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