André F. Rendeiro afrendeiro

## mask_to_labelme_json.py
import pathlib

import numpy as np

def mask_to_labelme(
    labeled_image: np.ndarray,
    filename: pathlib.Path,
    overwrite: bool = False,
    simplify: bool = True,
    simplification_threshold: float = 5.0,

## triangular_clustermap.py
import string

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# generate some data
n_groups = 4
n_per_group = 5

## interactive_volume_viewer.py
#!/usr/bin/env python

"""
An example program to display a volumetric image from the command line.
"""

import sys
import typing as tp
from urlpath import URL
from functools import partial

## upload_zipfiles_to_box.py
#!/usr/bin/env python

"""
Upload images inside zip files to box.com.
"""

import sys, time, webbrowser, json, zipfile, tempfile, urllib3
from argparse import ArgumentParser
from pathlib import Path
from typing import Dict, List, Generator

## dog_ex.py
from skimage import data, feature, color, filters, img_as_float
from matplotlib import pyplot as plt


original_image = img_as_float(data.chelsea())
img = color.rgb2gray(original_image)

k = 1.6

plt.subplot(2,3,1)

## nih_grant_link_eracommons.md

      
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                afrendeiro
                / nih_grant_link_eracommons.md
            
            
              Last active Dec 28, 2020
            
              
                Linking NIH grant number to publications in NCBI/eRA Commons
              
          
      View nih_grant_link_eracommons.md
  
      
An important first step is to link the era commons and the NCBI accounts. Check if linked here: https://www.ncbi.nlm.nih.gov/account/settings/ and link accounts here: https://www.ncbi.nlm.nih.gov/account/settings/linked-accounts/.
One that is done, go to your bibliography page of NCBI (https://www.ncbi.nlm.nih.gov/myncbi/collections/mybibliography/).
In there should be your publications, if not, search and add it manually with "Add citations".
For each citation there is a panel on the right that has the grant awards mentioned in the work or a "Add Award" button to add manually.


## series_matrix2csv.py
#!/usr/bin/env python

"""
Get a GEO series matrix file describing an experiment and
parse it into project level and sample level data.
"""

import os
from typing import Tuple, Union
import tempfile

## get_gene_set_libraries.py
from pathlib import Path

import parmap
import requests


def update(gsll):
    return [g for g in gsll if not (output_dir / (g + ".gmt")).exists()]

## stitching_demo.py
#!/usr/bin/env python

"""
Max-reduce and stitch microscopy images into one stitched one.

Requirements:
`pip install numpy matplotlib tifffile`
"""

from pathlib import Path

## seaborn_clustermap_with_effortless_colorbars_decorator.ipynb

      
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                afrendeiro
                / seaborn_clustermap_with_effortless_colorbars_decorator.ipynb
            
            
              Last active May 14, 2020
            
              
                Seaborn clustermap with effortless row and column colorbars
              
          
      View seaborn_clustermap_with_effortless_colorbars_decorator.ipynb
  
    
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	import pathlib

	import numpy as np

	def mask_to_labelme(
	labeled_image: np.ndarray,
	filename: pathlib.Path,
	overwrite: bool = False,
	simplify: bool = True,
	simplification_threshold: float = 5.0,
	import string

	import numpy as np
	import pandas as pd
	import matplotlib.pyplot as plt
	import seaborn as sns

	# generate some data
	n_groups = 4
	n_per_group = 5
	#!/usr/bin/env python

	"""
	An example program to display a volumetric image from the command line.
	"""

	import sys
	import typing as tp
	from urlpath import URL
	from functools import partial
	#!/usr/bin/env python

	"""
	Upload images inside zip files to box.com.
	"""

	import sys, time, webbrowser, json, zipfile, tempfile, urllib3
	from argparse import ArgumentParser
	from pathlib import Path
	from typing import Dict, List, Generator
	from skimage import data, feature, color, filters, img_as_float
	from matplotlib import pyplot as plt


	original_image = img_as_float(data.chelsea())
	img = color.rgb2gray(original_image)

	k = 1.6

	plt.subplot(2,3,1)
	#!/usr/bin/env python

	"""
	Get a GEO series matrix file describing an experiment and
	parse it into project level and sample level data.
	"""

	import os
	from typing import Tuple, Union
	import tempfile
	from pathlib import Path

	import parmap
	import requests


	def update(gsll):
	return [g for g in gsll if not (output_dir / (g + ".gmt")).exists()]
	#!/usr/bin/env python

	"""
	Max-reduce and stitch microscopy images into one stitched one.

	Requirements:
	`pip install numpy matplotlib tifffile`
	"""

	from pathlib import Path