New Results
Identification of spatially variable genes with graph cuts
Ke Zhang, Wanwan Feng, View ORCID ProfilePeng Wang
doi: https://doi.org/10.1101/491472
Ke Zhang
1Bio-med Big Data Center, CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences
Wanwan Feng
1Bio-med Big Data Center, CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences
Peng Wang
1Bio-med Big Data Center, CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences
2School of Life Science and Technology, ShanghaiTech University
Posted December 09, 2018.
Identification of spatially variable genes with graph cuts
Ke Zhang, Wanwan Feng, Peng Wang
bioRxiv 491472; doi: https://doi.org/10.1101/491472
Subject Area
Subject Areas
- Biochemistry (11753)
- Bioengineering (8754)
- Bioinformatics (29205)
- Biophysics (14975)
- Cancer Biology (12102)
- Cell Biology (17414)
- Clinical Trials (138)
- Developmental Biology (9423)
- Ecology (14185)
- Epidemiology (2067)
- Evolutionary Biology (18309)
- Genetics (12246)
- Genomics (16805)
- Immunology (11870)
- Microbiology (28098)
- Molecular Biology (11598)
- Neuroscience (60979)
- Paleontology (452)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4960)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7341)
- Zoology (1651)